Every review, in full.
Each course is completed end-to-end before we publish. No shortcuts, no second-hand opinions, no sponsored ratings.
All courses
[ 550 indexed · sorted by rating ]Neural Networks: Zero to Hero (Andrej Karpathy)
A free YouTube lecture series by Andrej Karpathy that builds neural networks and a working GPT from scratch in plain Python, line by line, for people who want to truly understand how modern AI works under the hood.
Machine Learning Specialization (Andrew Ng)
The rebuilt version of the course that taught a generation of engineers machine learning, now in Python with Andrew Ng walking you from linear regression to neural networks and recommender systems.
CS50's Introduction to AI with Python
Harvard's free, project-heavy introduction to the ideas behind modern AI, from search and knowledge to machine learning and neural networks, all implemented in Python.
3Blue1Brown Neural Networks Series
Grant Sanderson's beautifully animated series that builds an intuition for how neural networks, gradient descent, backpropagation, and more recently transformers actually work.
Stanford CS231n: Deep Learning for Computer Vision
Stanford's legendary computer vision course. Builds you up from linear classifiers and backpropagation to convolutional networks, attention, and modern vision models, with notes and assignments that are free online.
Stanford CS224n: Natural Language Processing with Deep Learning
Stanford's flagship NLP course, led by Christopher Manning. Goes from word vectors and dependency parsing up through attention, transformers, and large language models, with lectures posted free on YouTube.
Build a Large Language Model (From Scratch)
Sebastian Raschka's book and code walkthrough that has you build a GPT style language model from the ground up in PyTorch, from tokenizer to attention to pretraining and fine-tuning.
Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow (Aurélien Géron)
Aurélien Géron's third edition ML book, the most widely recommended self study path from classical machine learning through deep learning, taught with Scikit-Learn, Keras and TensorFlow and a lot of runnable code.
CS50x: Introduction to Computer Science
Harvard's flagship introduction to computer science, taught by David Malan, covering C, Python, SQL, HTML, CSS and JavaScript through weekly problem sets and a self-directed final project.
Understanding Deep Learning (Simon J.D. Prince)
The clearest modern deep learning textbook, free in full, with short focused chapters, exceptional diagrams and Python notebooks for nearly every concept.
An Introduction to Statistical Learning (ISLR and ISLP)
The best first serious book on machine learning, free from the authors, now available with labs in either R or Python.
Designing Data-Intensive Applications (Martin Kleppmann)
The reference on how storage, replication, partitioning, consistency and stream processing actually work, and the reason most senior data engineers stop guessing.
EECS 498-007 / 598-005: Deep Learning for Computer Vision
Justin Johnson's deep learning for computer vision course, widely treated as the spiritual successor to Stanford CS231n, with full lecture recordings on YouTube and six substantial from scratch assignments.
MIT 18.06: Linear Algebra
Gilbert Strang's MIT linear algebra course, the single most watched mathematics course on OpenCourseWare and the reason a generation of engineers understands eigenvalues.
Harvard STAT 110: Introduction to Probability
Joe Blitzstein's full Harvard probability course, released free with lectures, problem sets, solutions and a companion textbook.
Simon Willison's Weblog
A working developer's running notebook on large language models, covering new releases, prompt injection, local models and practical tooling, updated several times a week.
Berkeley CS61A: Structure and Interpretation of Computer Programs
Berkeley's first computer science course, a Python based descendant of the classic SICP curriculum, covering abstraction, recursion, higher order functions, interpreters and the underlying ideas of programming.
Applied AI & Deep Learning in Action
Build production-ready AI systems with PyTorch, transformers, and LangChain. Includes a capstone project.
Practical Deep Learning for Coders
Jeremy Howard's famously code-first deep learning course. Build working image classifiers in week one, then peel back the layers over the rest of the curriculum.
Generative AI for Everyone (Andrew Ng)
Andrew Ng's short, non-technical primer on what generative AI actually is, what it can and cannot do, and how to think about using it at work, with no coding required.
StatQuest with Josh Starmer
Josh Starmer's long-running YouTube channel and study materials that break down the statistics and machine learning maths most courses skip over, one clearly explained concept at a time.
Stanford CS229: Machine Learning
The full Stanford graduate machine learning course taught by Andrew Ng, with the Autumn 2018 lectures available free on YouTube and the notes and problem sets posted on the course site.
DeepMind x UCL Reinforcement Learning Course (David Silver)
David Silver's classic lecture series on reinforcement learning, recorded at UCL, taking you from Markov decision processes through dynamic programming, Monte Carlo, temporal difference learning, function approximation, and policy gradients.
Berkeley CS188: Introduction to Artificial Intelligence
Berkeley's classic introduction to AI, covering search, constraint satisfaction, game playing, Markov decision processes, reinforcement learning, and probabilistic reasoning, taught through the much loved Pacman programming projects.
Stanford CS230: Deep Learning
Andrew Ng's Stanford deep learning course, pairing classroom lectures with the practical Coursera assignments, covering CNNs, sequence models, and the engineering judgement behind real projects.
Umar Jamil (From Scratch LLM and Deep Learning Videos)
A free YouTube channel of long form, code along deep dives that build transformers, LLaMA, Stable Diffusion, reinforcement learning from human feedback and more from scratch, aimed at people who want to truly understand how modern AI works under the hood.
Dive into Deep Learning (D2L.ai)
A free, open source interactive deep learning textbook where every concept is paired with runnable code in PyTorch, TensorFlow and JAX, written by researchers from Amazon and adopted by hundreds of universities worldwide.
Speech and Language Processing (Jurafsky and Martin, 3rd Edition)
The standard NLP textbook, kept as a free living draft that now runs from n-grams and edit distance through transformers, RLHF and modern LLM evaluation.
Deep Learning with Python, Third Edition (Chollet and Watson)
The Keras creator's rewrite of the classic deep learning text, now covering Keras 3, JAX and PyTorch backends, transformers, LLMs and diffusion models.
Fluent Python, Second Edition (Luciano Ramalho)
The book that turns a person who writes Python into a Python programmer, built around the data model and the protocols the language is actually made of.
CS50P: CS50's Introduction to Programming with Python (Harvard)
Harvard's standalone Python course from the CS50 team, covering functions, conditionals, loops, exceptions, libraries, unit tests, file I/O, regular expressions and object oriented programming, with an autograded problem set every week and a final project.
Lil'Log by Lilian Weng
A long running technical blog covering agents, reinforcement learning, hallucination, reward hacking, diffusion models, scaling laws and reasoning, written for practitioners.
scikit-learn Official Documentation and User Guide
The scikit-learn user guide, tutorials and example gallery, which together amount to one of the best free applied machine learning textbooks in existence.
Andrej Karpathy's Blog
Andrej Karpathy's written essays, including the recurrent network piece, the training recipe, the Software 2.0 argument and the practical advice posts that a generation of practitioners learned from.
MLOps & AI Infrastructure
Design, deploy, and govern enterprise-grade AI systems with Docker, GCP, and CI/CD pipelines.
Deep Learning Specialization (DeepLearning.AI)
Andrew Ng's flagship five-course series covering neural networks, CNNs, sequence models, and the math underneath modern AI.
Zero to Mastery AI and Machine Learning
A subscription academy whose AI and ML track, led largely by Daniel Bourke, takes you from Python through PyTorch and TensorFlow with a heavy emphasis on building real projects.
Generative AI with Large Language Models (DeepLearning.AI and AWS)
A technical short course from DeepLearning.AI and AWS covering how large language models work, plus fine-tuning, RLHF, and real deployment considerations.
100 Days of Code: The Complete Python Pro Bootcamp
Dr Angela Yu's wildly popular Udemy bootcamp that teaches Python through 100 days of build-something projects, from beginner scripts up to web apps, data science, and automation.
MIT 6.S191: Introduction to Deep Learning
MIT's fast-paced introductory deep learning course, taught by Alexander and Ava Amini, with the full lecture series and Colab software labs released free every year.
Hugging Face LLM Course
Hugging Face's free, recently expanded course (formerly the NLP Course) that teaches transformers, fine-tuning, and modern LLM techniques using the Transformers, Datasets, and Tokenizers libraries.
Google Advanced Data Analytics Professional Certificate
Google's follow on to its Data Analytics certificate. Seven courses that move into Python, statistics, regression, and machine learning, aimed at the jump from analyst to data scientist roles.
Machine Learning Zoomcamp (DataTalks.Club)
Alexey Grigorev's free, project-heavy machine learning engineering course, taking you from regression and classification through deployment with Flask, Docker, and the cloud, with deep learning and serverless along the way.
Learning From Data (Caltech CS156)
Yaser Abu-Mostafa's renowned Caltech course on the theory of machine learning, covering the learning problem itself, generalization, the VC dimension, the bias-variance tradeoff, regularization, validation, and the models that follow from them.
Stanford CS336: Language Modeling from Scratch
Stanford's graduate course on building language models end to end, with public lectures and assignments that take you from tokenization and Transformer architecture through training, systems and parallelism, scaling laws, data curation, and alignment, all built largely from scratch.
Made With ML (MLOps Course by Goku Mohandas)
A free, open source course from Goku Mohandas (now under Anyscale) that teaches how to design, develop, deploy and iterate on production grade ML applications, with software engineering baked in from the first lesson.
Learn PyTorch for Deep Learning (Daniel Bourke)
A hands on, code first PyTorch course from Daniel Bourke, available free as an online book at learnpytorch.io and as a long form video on YouTube, taking you from tensors all the way to building, training and deploying neural networks.
Full Stack Deep Learning (FSDL)
A course focused on the parts of machine learning that most courses skip, namely taking models out of the notebook and into reliable, monitored production systems, taught by practitioners including Josh Tobin, Sergey Karayev and Pieter Abbeel.
Jay Alammar (The Illustrated Transformer and Hands-On Large Language Models)
The work of Jay Alammar, whose illustrated guides to transformers, word embeddings and large language models have become the way a huge number of people first understand how these models actually work.
Corey Schafer (Python Programming Tutorials)
The Corey Schafer YouTube channel, one of the most respected free sources for learning Python properly, covering the language, libraries like Pandas and Matplotlib, and the tooling that underpins a lot of data and machine learning work.
Python for Everybody (Dr. Chuck)
Charles Severance's gentle, beginner first introduction to Python and working with data, available free on py4e.com and freeCodeCamp or as a paid certificate specialization on Coursera.
AI Engineering (Book by Chip Huyen)
The book that best explains how to actually build applications on top of foundation models, covering evaluation, prompting, RAG, finetuning, inference optimization, and agents from a practitioner's decision making point of view.
The Coding Train (Daniel Shiffman)
Daniel Shiffman's wildly enthusiastic YouTube channel and site teaching creative coding, generative art, and the friendly end of machine learning through p5.js, Processing, and ml5.js.
Traversy Media (Brad Traversy)
Brad Traversy's long running web development channel and course library, known for clear, no nonsense, project based teaching across JavaScript, React, Node, and full stack.
NeetCode (NeetCode 150, Roadmap and NeetCode Pro)
Navdeep Singh's curated data structures and algorithms roadmap, built around the NeetCode 150 problem list with video solutions for every problem and a paid tier adding structured courses and system design.
AI Evals For Engineers & PMs
The best known course on evaluating LLM applications, covering error analysis, LLM as judge, CI integration and red teaming, taught live by Hamel Husain and Shreya Shankar.
Reinforcement Learning: An Introduction (Sutton and Barto)
The foundational reinforcement learning text, free from the authors, and the rare textbook that builds a whole field from first principles without losing you.
Automate the Boring Stuff with Python, Third Edition (Al Sweigart)
The book that has taught more non programmers to write useful Python than anything else, built entirely around small scripts that do real chores.
Python Crash Course, Third Edition (Eric Matthes)
A fundamentals half followed by three substantial build projects, and the most commonly recommended paid Python book for people heading towards data work.
R for Data Science, Second Edition (Wickham, Cetinkaya-Rundel and Grolemund)
The standard introduction to the tidyverse, covering import, tidying, transformation, visualisation and communication as one coherent workflow.
CS 285: Deep Reinforcement Learning
Sergey Levine's graduate deep reinforcement learning course, covering imitation learning, policy gradients, actor critic methods, model based and offline RL, exploration, and reinforcement learning for language models, with public slides, lectures and homeworks.
6.5940: TinyML and Efficient Deep Learning Computing
Song Han's MIT course on making models small and fast, covering pruning, quantisation, distillation, neural architecture search, and efficient inference for large language models and diffusion models, with public lectures and labs.
Mark Cuban Foundation AI Bootcamp
A free weekend AI bootcamp for high school students, run each autumn across dozens of US host sites with industry mentors, applied ethics and a capstone project.
Think Python: How to Think Like a Computer Scientist
Allen Downey's free introduction to Python and to programming as a discipline, now in a third edition delivered as runnable Jupyter notebooks with material on working alongside language models.
MIT 6.006: Introduction to Algorithms
MIT's undergraduate algorithms course on OpenCourseWare, taught by Erik Demaine, Jason Ku and Justin Solomon, with full lecture video, recitation notes and problem sets.
Grokking Algorithms, Second Edition
An illustrated introduction to algorithms and data structures with annotated Python examples, covering search, sorting, graphs, dynamic programming and trees.
Distill.pub
A peer reviewed journal of interactive machine learning explanations, on hiatus since 2021, covering feature visualisation, interpretability, attention and graph neural networks.
FastAPI Official Tutorial and Documentation
The official FastAPI learning path, a progressively structured tutorial that teaches modern Python API development and is the standard way ML engineers learn to serve models.
Robert Miles AI Safety
YouTube channel explaining AI alignment and safety concepts, covering specification gaming, instrumental convergence, mesa optimisation, reward hacking and corrigibility with clear examples and no hype.
AI Workplace Fundamentals
Hands-on training in prompt engineering, content automation, data analysis, and custom AI workflow design.
UX Design for AI Experiences
Create adaptive, ethical, and trustworthy AI-powered products with hands-on design practice.
DeepLearning.AI Short Courses
Andrew Ng's growing library of free, hour-long courses built in partnership with OpenAI, Anthropic, LangChain, Hugging Face, Mistral, and others.
AI Python for Beginners (Andrew Ng)
A free, modern intro that teaches absolute beginners to write Python by building small, useful automations, with an AI chatbot sitting beside the code to help when you get stuck.
ChatGPT Prompt Engineering for Developers
The short, free course from DeepLearning.AI and OpenAI, taught by Isa Fulford and Andrew Ng, that teaches developers how to use the OpenAI API for prompting through hands-on Jupyter notebooks.
AI Agents in LangGraph
A short, hands-on DeepLearning.AI course taught by LangChain founder Harrison Chase and Tavily founder Rotem Weiss that has you build an agent from scratch and then rebuild it properly in LangGraph.
Codebasics Data Science and Machine Learning Courses
Dhaval Patel's Codebasics offers free YouTube playlists on Python, machine learning, and deep learning alongside affordable, project led paid bootcamps aimed at career changers.
Hugging Face Deep Reinforcement Learning Course
Hugging Face's free, hands-on deep reinforcement learning course, training agents with libraries like Stable-Baselines3 and CleanRL across environments from classic control to game playing, with models pushed to the Hub.
DeepLearning.AI Data Engineering Professional Certificate
Joe Reis takes you through the full data engineering lifecycle on AWS, from ingestion and storage to transformation, orchestration, and serving, framed around the same thinking as his book Fundamentals of Data Engineering.
MLOps Zoomcamp (DataTalks.Club)
DataTalks.Club's free, project-heavy MLOps course taking you from experiment tracking with MLflow through pipeline orchestration, deployment, monitoring with Evidently and Grafana, and CI/CD, finished with an end-to-end portfolio project.
Reinforcement Learning Specialization (University of Alberta)
A four-course Coursera specialization from the University of Alberta and Amii, taught by Adam and Martha White, covering reinforcement learning from value functions and temporal-difference methods through function approximation and policy gradients, ending in a capstone system.
Serrano Academy (Luis Serrano)
Free, intuition first courses from Luis Serrano (formerly of Google, Apple, Udacity and Cohere) covering machine learning, the maths behind it, and more recently LLMs and transformers, explained with pictures and analogies instead of walls of notation.
Neuromatch Academy
An intensive online summer school offering deep learning and computational neuroscience tracks, combining a free open curriculum with a cohort based live programme run by a global network of volunteer teaching assistants.
Le Wagon Data Science & AI Bootcamp
A globally run, consistently top rated bootcamp covering Python, data analysis, machine learning, deep learning, and increasingly generative AI, with strong career support and an active alumni network.
Real Python
One of the highest quality Python teaching resources on the web, whose depth and clarity make it a superb foundation before and alongside serious AI and data work.
Roboflow (Computer Vision Platform and Roboflow Learn)
The go to platform for building computer vision projects, pairing dataset annotation, training, and deployment tools with a genuinely excellent set of free tutorials, notebooks, and open source libraries.
The Net Ninja (Shaun Pelling)
Shaun Pelling's calm, methodical channel built around thorough, well ordered playlists on JavaScript, React, Vue, Node, Firebase, and more, plus paid extended courses.
Claude Code in Action (Anthropic)
Anthropic's free official course on running longer, less supervised Claude Code sessions, covering plan mode, CLAUDE.md and skills, permission modes and hooks, headless mode and GitHub Actions, and how to verify work you did not watch.
CodePath
Nonprofit running free 10 week courses for US college students in computing majors, covering applied AI engineering, technical interview prep, web development and cybersecurity, taught by working engineers.
Hands-On Large Language Models (Alammar and Grootendorst)
The best illustrated introduction to how language models actually work, from the author of The Illustrated Transformer, with runnable code throughout.
Machine Learning with PyTorch and Scikit-Learn (Raschka, Liu and Mirjalili)
The PyTorch rewrite of Raschka's Python Machine Learning, taking you from classical scikit-learn methods through to transformers and graph neural networks.
AI Snake Oil (Arvind Narayanan and Sayash Kapoor)
Two Princeton researchers separate the parts of AI that work from the parts being sold as working, with particular attention to predictive systems making decisions about people.
LLM Course
A free GitHub curriculum split into an LLM Scientist track for building and training models and an LLM Engineer track for shipping applications, with a large set of runnable Colab notebooks.
Cornell CS4780: Machine Learning for Intelligent Systems (Kilian Weinberger)
Kilian Weinberger's recorded Cornell machine learning lectures, widely regarded as one of the best taught introductions to classical machine learning available anywhere for free.
CS224W: Machine Learning with Graphs
Jure Leskovec's Stanford course on graph neural networks and network analysis, released free on YouTube with the full slide deck and Colab assignments.
ARENA: Alignment Research Engineer Accelerator
An intensive AI safety engineering bootcamp run in London, whose entire curriculum on interpretability, reinforcement learning and evaluations is published free for self study.
Stanford CS236: Deep Generative Models
Stefano Ermon's graduate course on the probabilistic foundations of generative modelling, covering autoregressive models, VAEs, normalizing flows, GANs, energy based models and score based diffusion.
UC Berkeley Data 100: Principles and Techniques of Data Science
Berkeley's intermediate data science course covering the full data lifecycle, pandas and SQL, exploratory analysis and visualisation, regression and classification, gradient descent, PCA and inference, with a full online textbook published free.
Vercel AI SDK Documentation, Guides and Cookbook
Vercel's documentation for the TypeScript AI toolkit, covering the core generation API, UI hooks, agent patterns, templates and a large cookbook.
Stanford EE364A Convex Optimization
Stephen Boyd's convex optimization course, with lectures, the standard textbook and full problem sets freely available, teaching the mathematical machinery underneath most of machine learning.
The Alignment Problem by Brian Christian
Brian Christian's account of how machine learning systems come to do what we did not intend, tracing the technical history from early perceptrons through reward shaping, inverse reinforcement learning, interpretability and uncertainty.
Build AI Agents
Design and deploy autonomous AI agents using no-code tools and natural language to automate workflows.
AI for Everyone (Andrew Ng)
Andrew Ng's non-technical AI primer for managers, executives, and anyone making decisions about AI without writing code.
AI Data Analytics Pathway
Master the complete AI and data pipeline: analytics, Python, databases, and deep learning across 4 bundled courses.
AI Fundamentals (DataCamp)
A no-code beginner track covering machine learning, deep learning, generative AI, and the ethics around them through DataCamp's interactive lessons.
Google Data Analytics Professional Certificate
Google's beginner certificate covering the full analytics process: spreadsheets, SQL, Tableau, R, and the AI tools now woven into each stage.
Prompt Engineering for ChatGPT (Vanderbilt)
Vanderbilt's popular Coursera course with Dr. Jules White, teaching repeatable prompt patterns for getting reliable, useful output from ChatGPT and similar tools.
Anthropic Academy (Claude)
Anthropic's own free learning hub for getting good at Claude, covering everyday AI fluency, prompt engineering, the Claude API, and building with Claude Code.
Hugging Face AI Agents Course
Hugging Face's free, hands-on course on building AI agents from the ground up, working through smolagents, LangGraph and LlamaIndex with real code and a final project.
The AI Engineer Path
Scrimba's hands-on path for web developers who want to build generative AI apps, taught through its interactive code-along screencasts using the OpenAI API, embeddings and vector databases.
Stanford Online AI Professional Program
Stanford's graduate-level AI courses repackaged for working professionals, built around the same XCS221 and XCS229 material taught on campus, with graded assignments and a Stanford certificate.
Google Machine Learning Crash Course
Google's free, hands-on introduction to machine learning, recently rebuilt to include modern topics like embeddings and large language models, with interactive exercises and short videos throughout.
Python for Data Science and Machine Learning Bootcamp
Jose Portilla's long-running, best-selling Udemy course taking you from Python basics through NumPy, Pandas, visualisation, and scikit-learn into the foundations of machine learning.
Mathematics for Machine Learning Specialization
Imperial College London's three-course specialization covering linear algebra, multivariate calculus, and PCA, aimed at giving you the maths that most machine learning courses quietly assume you already have.
Generative AI for Beginners
Microsoft's free, open-source course of 21 lessons that walks you from generative AI fundamentals through prompt engineering, building apps, retrieval, and agents, with code in Python and TypeScript.
The Full Stack: LLM Bootcamp
A free recorded bootcamp from the Full Stack Deep Learning team, taught by Charles Frye, Josh Tobin, and Sergey Karayev, focused on the engineering and product side of shipping real LLM applications.
Microsoft Azure AI Engineer Associate (AI-102)
Microsoft's associate level certification for building AI solutions on Azure, covering Azure AI services, computer vision, language, document intelligence, and increasingly generative AI with Azure OpenAI.
AI Product Management Specialization (Duke University)
Duke University's three-course specialization for product managers, covering machine learning foundations, how to run machine learning projects, and the human factors of designing AI products, taught without requiring you to code.
Mathematics for Machine Learning and Data Science Specialization
DeepLearning.AI's applied take on the maths behind machine learning, covering linear algebra, calculus, probability, and statistics with the explicit aim of supporting practitioners rather than mathematicians.
Machine Learning with Python: from Linear Models to Deep Learning (MITx 6.86x)
MIT's rigorous, graduate-level machine learning course on edX, part of the MITx MicroMasters in Statistics and Data Science, covering linear classifiers, neural networks, kernels, clustering, and reinforcement learning with programming projects that make you build the methods yourself.
LLM Zoomcamp (DataTalks.Club)
A free, hands-on course on building real applications with large language models, walking from your first RAG pipeline through vector search, agents, evaluation, monitoring, and best practices, finishing with an end-to-end RAG project.
Agentic AI (DeepLearning.AI, Andrew Ng)
Andrew Ng's course on building agentic AI systems, covering reflection, tool use, planning, multi agent collaboration and how to evaluate and improve agents.
5-Day Gen AI Intensive Course with Google (Kaggle)
Google and Kaggle's free five day intensive on generative AI foundations, covering embeddings, prompting, the Gemini API, agents, domain LLMs and MLOps, with whitepapers, code labs and a capstone.
AI by Hand (Tom Yeh)
Professor Tom Yeh's AI by Hand project, a series of exercises that have you compute neural networks, backpropagation, transformers and attention by hand, on paper and in spreadsheets, to build deep intuition for how the maths actually works.
Aman.ai (Aman Chadha)
Aman Chadha's free reference site of distilled AI and machine learning primers, covering transformers, LLMs, NLP, deep learning and the maths beneath them, plus curated Stanford course notes and reading lists.
Coursera Plus (Subscription Review)
Coursera's all you can learn subscription that unlocks most of the catalog, including a huge share of the AI and machine learning courses we review.
DeepLearning.AI Data Analytics Professional Certificate
DeepLearning.AI's data analytics certificate that teaches Python, SQL, statistics, and visualization with generative AI woven through the whole workflow.
DataLemur SQL and Data Science Interview Prep
Free SQL and data science interview questions from real companies, built by Nick Singh and Ergest Xheblati of Ace the Data Science Interview fame.
The Odin Project (Free Full Stack Curriculum)
A free, open source, project heavy curriculum that takes a motivated beginner from nothing to employable full stack web developer, prized for teaching you to build and problem solve rather than follow along passively.
The Web Developer Bootcamp (Colt Steele)
Colt Steele's perennially popular Udemy course that takes complete beginners through HTML, CSS, JavaScript, Node, and full stack web development in one enormous, regularly updated package.
Academind (Maximilian Schwarzmüller)
Maximilian Schwarzmüller's course brand, known for exhaustive, deeply thorough courses on React, Angular, Vue, Node, Flutter, and more that go far beyond the basics.
Hugging Face MCP Course
Hugging Face's free course on the Model Context Protocol, built in partnership with Anthropic, taking you from the architecture and core concepts through to an end to end use case and a deployed application.
O'Reilly Learning Platform
A subscription library of roughly 60,000 technical titles plus video, live online training, interactive sandboxes and early-release books, aimed at working engineers rather than beginners.
BlueDot Impact AI Safety Courses
Facilitated cohort courses in technical AI safety, AGI strategy and the broader future of AI, run free by a UK non profit whose alumni now number in the thousands across frontier labs, government institutes and policy work.
Designing Machine Learning Systems (Chip Huyen)
The book that taught a generation of engineers that the model is the easy part, covering data, deployment, drift and monitoring with unusual honesty about what breaks in production.
Mathematics for Machine Learning (Deisenroth, Faisal and Ong)
The free book that fills the gap between school maths and machine learning papers, covering linear algebra, calculus, probability and optimisation with ML as the destination.
Why Machines Learn: The Elegant Maths Behind Modern AI (Anil Ananthaswamy)
A narrative history of machine learning that refuses to skip the mathematics, tracing the field from the perceptron to deep networks through the ideas and the people behind them.
Python for Data Analysis, Third Edition (Wes McKinney)
The definitive guide to pandas and NumPy, written by the person who created pandas, covering the data manipulation layer that sits under every model you will ever train.
Hugging Face Context Course
Hugging Face's free course on context engineering for coding agents, covering skills, MCP, plugins, sub agents and hooks, with a capstone and two certificate tiers.
CS 11-711: Advanced NLP
Graham Neubig's graduate NLP course at CMU, taking you from the fundamentals of language modelling through transformers, pre training, fine tuning, prompting, retrieval and agents, with public slides, readings and lecture recordings.
The Hundred-Page Language Models Book
Burkov's compact treatment of language models, running from machine learning foundations through count based methods and recurrent networks to transformers, fine tuning and prompting, with PyTorch implementations throughout.
Latent Space: The AI Engineer Podcast
A weekly podcast and newsletter by Shawn Wang and Alessio Fanelli covering AI engineering as a practice, with long technical interviews aimed at people building rather than investing.
CS221: Artificial Intelligence: Principles and Techniques
Stanford's broad undergraduate and graduate AI course, covering search, constraint satisfaction, Markov decision processes, games, graphical models, logic and machine learning as one connected toolkit.
AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents
Ed Donner's project driven LLM engineering course, building eight commercial style projects across frontier APIs, open source models, RAG, QLoRA fine tuning and agentic systems.
Stanford CS246: Mining Massive Data Sets
Jure Leskovec's Stanford course on algorithms for data too large to fit in memory, covering MapReduce and Spark, locality sensitive hashing, frequent itemsets, dimensionality reduction, recommender systems, link analysis, clustering and data streams.
Machine Learning Yearning
Andrew Ng's free book on how to structure machine learning projects, covering error analysis, data splits, human level performance and when to apply transfer or end to end learning.
Stanford CS109: Probability for Computer Scientists
Stanford's probability course built for programmers, teaching distributions, inference and machine learning foundations through code rather than pure derivation.
Artificial Intelligence: A Modern Approach
The standard university textbook on artificial intelligence, covering search, logic, probabilistic reasoning, planning, learning and the philosophical questions, used by more courses worldwide than any other AI text.
MIT OpenCourseWare
MIT's free archive of materials from more than 2,500 undergraduate and graduate courses, including lecture videos, notes, problem sets and exams across AI, machine learning, mathematics and computer science.
Empire of AI by Karen Hao
Karen Hao's reported account of OpenAI's rise, built on years of access and hundreds of interviews, arguing that the modern AI industry is best understood as an empire rather than a research programme.
Python for AI and Data
Learn Python for AI/ML with Pandas, NumPy, scikit-learn, and a practical capstone project.
AI for Product Managers Workshop
Empower product managers to integrate AI into product strategy, roadmaps, and decision-making.
DataCamp (Platform Review)
The interactive, code-in-the-browser learning platform for data and AI skills, spanning Python, R, SQL, and a growing catalog of generative AI tracks.
OpenAI Academy
OpenAI's own free learning hub, covering practical ChatGPT use, prompting, and applied AI for everyone from curious beginners to teachers, small businesses and developers.
Google Prompting Essentials
Google's short, practical Coursera course teaching a simple repeatable framework for writing prompts that get useful results from tools like Gemini, ChatGPT and Copilot.
AWS Certified AI Practitioner (AIF-C1)
Amazon's entry-level AI certification covering core AI and generative AI concepts framed around AWS services like Bedrock and SageMaker, aimed at people who want a recognised cloud-AI credential without a deep coding background.
Kaggle Learn
Kaggle's set of free, bite-sized practical courses on Python, machine learning, deep learning and more, taught entirely in interactive notebooks on the same platform that hosts the famous data science competitions.
Elements of AI
A free, beginner-friendly introduction to what AI actually is, built by the University of Helsinki and MinnaLearn, with almost no maths and no coding required for the first course.
AI for Business Specialization (Wharton)
A non-technical Wharton specialization covering how AI, machine learning, and big data reshape strategy, marketing, finance, and people management.
freeCodeCamp Machine Learning with Python
A genuinely free, nonprofit machine learning certification using TensorFlow, built around hands-on projects and backed by freeCodeCamp's enormous community and YouTube library.
IBM Data Science Professional Certificate
IBM's twelve-course beginner certificate that walks you from no coding at all through Python, SQL, data analysis, visualisation, and a first taste of machine learning, finishing with a hands-on capstone.
DeepLearning.AI TensorFlow Developer Professional Certificate
A four-course, code-first specialization from DeepLearning.AI taught by Laurence Moroney, focused on actually building neural networks in TensorFlow for images, text, and sequences rather than the maths underneath.
Cohere LLM University (LLMU)
Cohere's free learning hub for large language models, covering everything from embeddings and semantic search to prompt engineering, RAG, and building a multi-turn agent.
IBM Machine Learning Professional Certificate
IBM's machine learning certificate on Coursera, covering supervised and unsupervised learning, deep learning, and reinforcement learning with hands on Python and scikit-learn projects.
IBM Generative AI Engineering Professional Certificate
IBM's newer Coursera certificate aimed squarely at generative AI, covering Python, machine learning foundations, transformers, prompt engineering, LangChain, RAG, and fine-tuning of large language models.
Machine Learning Engineering for Production (MLOps) Specialization
DeepLearning.AI's specialization on the unglamorous half of machine learning, taking a model from a notebook to a monitored, retrained, production system with data pipelines, deployment, and drift handling.
AWS Certified Machine Learning Engineer Associate (MLA-C01)
AWS's current associate-level machine learning certification, replacing the retired ML Specialty. It tests the practical job of getting models into production on AWS, from data preparation and SageMaker training to deployment, orchestration, monitoring, and security.
LangChain Academy (Introduction to LangGraph and Agent Courses)
Free official courses from the team behind LangChain and LangGraph, teaching how to build agents and stateful LLM applications with hands on notebooks.
AI Agents for Beginners (Microsoft)
Microsoft's free 12 lesson GitHub course on building AI agents, with written lessons, short videos and Python code samples using the Agent Framework and Azure AI Foundry.
Yannic Kilcher (YouTube Paper Reviews and ML News)
A free YouTube channel of in depth machine learning research paper explanations, interviews and news, aimed at helping engineers and researchers understand the ideas behind the latest models rather than just use them.
Vizuara AI (Build From Scratch Courses and YouTube)
A fast growing AI education startup founded by MIT and Purdue trained researchers, teaching machine learning, deep learning and large language models from first principles through long form lectures and hands on build from scratch projects.
PyImageSearch (Adrian Rosebrock)
Adrian Rosebrock's computer vision focused blog, university and books, teaching OpenCV, image processing and deep learning for vision in Python through detailed, code heavy walkthroughs.
ritvikmath (YouTube)
Ritvik Kharkar's YouTube channel explaining the statistics and mathematics behind data science and machine learning in short, whiteboard style videos that prioritise intuition over code.
Stanford CS234: Reinforcement Learning
Stanford's dedicated reinforcement learning course, taught by Emma Brunskill, covering the theory and algorithms of RL from Markov decision processes through modern deep reinforcement learning, with public lectures, slides and assignments.
NYU Deep Learning (Yann LeCun and Alfredo Canziani)
New York University's deep learning course, co taught by Turing Award winner Yann LeCun with Alfredo Canziani, published openly with lecture videos, detailed notes and hands on PyTorch notebooks covering everything from the basics to energy based and self supervised methods.
Sundog Education (Frank Kane)
Frank Kane's Udemy focused catalogue of practical, code along courses on machine learning, data science, generative AI, Spark, and cloud certifications, built from his years as a senior engineer at Amazon and IMDb.
Alex the Analyst (Data Analyst Bootcamp)
Alex Freberg's YouTube channel and free Data Analyst Bootcamp, walking complete beginners through the practical toolkit of a working data analyst, covering Excel, SQL, Python, Tableau, and Power BI, with a strong focus on actually landing the job.
Luke Barousse (Data Analytics on YouTube)
Luke Barousse's data analytics channel, known for teaching Python and SQL for data work and for using real analysis of the data job market to show learners which skills actually matter, plus full length free courses hosted on freeCodeCamp.
Programming with Mosh Python Courses
Mosh Hamedani's clear, beginner friendly programming courses, whose Python track is a common and well regarded first step before AI and data work.
LeetCode
The default place engineers grind coding interview problems, useful for the algorithmic screens that stand between you and many AI and machine learning jobs.
Fireship (fireship.io and YouTube)
Jeff Delaney's fast, meme heavy channel and course platform, famous for the '100 seconds' explainers and quick, practical builds across web, mobile, and AI tooling.
ByteByteGo
Alex Xu's system design platform, built out from the System Design Interview books into courses covering distributed systems, object oriented design, machine learning system design and generative AI system design.
IBM RAG and Agentic AI Professional Certificate
IBM's ten course certificate covering retrieval augmented generation, vector databases, multimodal applications and multi agent systems, built on LangChain, LangGraph, CrewAI, AutoGen, BeeAI and the Model Context Protocol.
Stanford CS25: Transformers United
Stanford's open seminar series where researchers from DeepMind, Anthropic, Mistral, CMU and elsewhere present current transformer work, streamed live and posted free to YouTube.
The Hundred-Page Machine Learning Book (Andriy Burkov)
A deliberately short, honest survey of classical machine learning that respects your time, backed by a read first and buy later model that more authors should copy.
Practical Statistics for Data Scientists, Second Edition (Bruce, Bruce and Gedeck)
The statistics a working data scientist actually uses, explained from a data perspective rather than a mathematical one, with parallel R and Python code.
Grokking Machine Learning (Luis Serrano)
A deliberately gentle introduction that builds each algorithm from intuition and pictures before any formalism, aimed at readers whose maths is rusty.
Deep Learning for Coders with fastai and PyTorch (Jeremy Howard and Sylvain Gugger)
The book form of the fast.ai course, teaching deep learning top down by getting results first and explaining the machinery underneath afterwards.
Prompt Engineering Guide
The most widely cited free reference on prompting, running from basic prompt elements through chain of thought, RAG, ReAct and agent patterns, with a searchable hub of worked examples.
AI Fluency: Framework and Foundations (Anthropic)
Anthropic's free course on working with AI well, built with two academics around a four part framework of Delegation, Description, Discernment and Diligence rather than around prompt tricks.
AI Engineer Conference Talks (World's Fair and Code Summit)
The talk archive from the AI Engineer conference series, released free after each event, covering how teams at real companies actually build and operate AI systems.
CS 7643: Deep Learning (Georgia Tech OMSCS)
Georgia Tech's graduate deep learning course inside the online masters programme, building networks from scratch in NumPy before moving to PyTorch, with paper reviews and a group project.
CMU 10-601 / 10-301: Introduction to Machine Learning
Matt Gormley's Carnegie Mellon machine learning course, covering the theory and implementation of classical machine learning with unusually complete public materials across many semesters.
OpenAI Agents SDK Documentation and Examples
OpenAI's official documentation for its agent framework, covering agents, handoffs, guardrails, sessions and tracing with runnable examples.
Google IT Automation with Python Professional Certificate
A seven course programme teaching Python scripting, operating system interaction, Git, debugging, configuration management and cloud automation.
AI Explained (YouTube)
A YouTube channel covering AI research and model releases with unusual care, reading the papers and testing the claims rather than reacting to announcements.
Import AI Newsletter
Jack Clark's weekly newsletter covering AI research, policy and safety, with substantive commentary on why each item matters and a short piece of speculative fiction at the end.
OpenAI Spinning Up in Deep RL
OpenAI's open educational resource for deep reinforcement learning, combining conceptual explanations, a curated paper list and clean reference implementations of the core algorithms.
SQL Tutorial (formerly Mode Analytics)
The free browser based SQL tutorial originally built by Mode Analytics, covering basic, intermediate and advanced SQL plus analytics training, with an embedded editor and real datasets in every lesson.
DuckDB Official Documentation and Tutorials
Documentation for the in-process analytical database that has become the fastest way to run SQL over local files, covering installation, SQL dialect, file format support and the Python integration.
CMU 11-785 Introduction to Deep Learning
A demanding graduate deep learning course with public lectures and assignments, including building an automatic differentiation library from scratch before you are allowed to use a real one.
Agentic AI Strategy
Plan and lead organizational transformation with autonomous AI systems and strategic frameworks.
365 Data Science (Platform Review)
A subscription learning platform that walks you from statistics and Python through machine learning and into AI, built around one structured career path rather than a loose pile of courses.
NVIDIA Deep Learning Institute (DLI)
NVIDIA's own training arm, offering hands-on courses in deep learning, generative AI, accelerated computing and data science, run on real GPU cloud instances with an industry-recognised certificate on select courses.
Microsoft Azure AI Fundamentals (AI-900) and Microsoft Learn
Microsoft's free Learn paths covering core AI concepts paired with the entry-level AI-900 certification, aimed at people who want a recognised, low-cost credential built around Azure's AI services.
Brilliant.org AI and Neural Network Courses
Interactive, gamified lessons on how LLMs and neural networks work, built around visual puzzles that develop intuition rather than coding skills.
Dataquest (Platform Review)
An interactive, browser-based platform that teaches data science, Python, and machine learning through hands-on coding rather than video lectures.
Uplimit AI and Machine Learning Courses
Cohort-based courses on building with LLMs, AI agents, and machine learning, taught by practitioners from leading tech companies, now wrapped in an AI-powered learning platform.
Educative AI and Machine Learning Courses
A text-based, in-browser learning platform with interactive AI, machine learning, and LLM courses aimed at developers who would rather read and run code than sit through video.
Krish Naik's Machine Learning and Data Science Tutorials
One of the largest free machine learning and data science libraries on YouTube, covering everything from statistics and classical ML to deep learning, MLOps, and generative AI, taught from a practitioner's angle.
LangChain for LLM Application Development
A short, free, notebook-driven course with Harrison Chase, the creator of LangChain, and Andrew Ng, covering models, prompts, parsers, memory, chains, question answering over your own documents, and a first look at agents.
Artificial Intelligence (ColumbiaX CSMM.101x)
Columbia's classical AI survey on edX, led by Ansaf Salleb-Aouissi, covering intelligent agents, search, adversarial games, constraint satisfaction, machine learning fundamentals, logic, and a tour through planning, robotics, and language.
IBM AI Developer Professional Certificate
IBM's beginner-friendly path from software basics to building generative AI applications, covering Python, web apps with Flask, prompt engineering, and assembling chatbots and AI-powered apps with modern frameworks.
AI for Medicine Specialization (DeepLearning.AI)
DeepLearning.AI's specialization applying machine learning to medicine, covering diagnosis from medical images, prognosis and risk models, and treatment effect estimation, with real clinical datasets and the domain's particular pitfalls.
MCP: Build Rich-Context AI Apps with Anthropic
A free, short DeepLearning.AI course taught with Anthropic, introducing the Model Context Protocol and walking through how to build and connect MCP servers and clients so that AI applications can reach tools, data, and resources through a shared standard.
n8n Courses and AI Automation Learning Path (Official)
The official free courses for n8n, the workflow automation tool that has become a favourite for building AI agents and LLM powered automations without writing much code.
Neo4j GraphAcademy (GenAI and GraphRAG courses)
Neo4j's free, hands on training platform with a growing set of generative AI and GraphRAG courses, teaching how to ground LLMs with knowledge graphs, build RAG over graphs and construct graphs from unstructured data.
100 Days of Machine Learning (CampusX)
A free, unusually thorough YouTube series from Nitish Singh of CampusX that works through machine learning topic by topic, mixing the underlying maths with hands on code and real datasets.
Boot.dev (Backend Developer Career Path with AI Courses)
A gamified backend development curriculum built by Lane Wagner, teaching Python, Go, algorithms, databases and DevOps, now with hands on courses on building AI agents and working with large language models in your own code.
Sentdex (Harrison Kinsley, Python Programming Tutorials)
One of the longest running free Python and machine learning channels on YouTube, teaching everything from neural networks built from scratch to reinforcement learning, computer vision and data analysis through practical, project driven tutorials.
Nicholas Renotte (YouTube AI and ML Builds)
A high energy, project first AI channel run by Nicholas Renotte, focused on building working machine learning and deep learning applications end to end in Python rather than teaching theory.
Weights & Biases Courses (W&B)
A set of free, hands on courses from the Weights & Biases team covering MLOps, experiment tracking, model evaluation, and training and fine tuning large language models, taught by practitioners.
edX AI and Machine Learning Courses (Platform Review)
The AI and machine learning catalogue on edX, the university backed platform that hosts material from institutions like MIT, Harvard, Columbia, IBM and Berkeley, from single audit friendly courses up to full MicroMasters programmes.
StrataScratch Data Science Interview Practice
A practice library of real data science interview questions covering SQL, Python coding, and analytical case problems pulled from actual companies.
Ken Jee Data Science Content
One of the more grounded data science voices on YouTube, strongest on portfolio building, career strategy, and the honest realities of breaking into the field.
Google Skills
Google's consolidated learning hub, launched in October 2025, pulling Cloud Skills Boost, DeepMind, Grow with Google and Google for Education content into one place with badges, hands-on labs and certifications.
IAPP AIGP (Artificial Intelligence Governance Professional)
The IAPP's AI governance certification, built around the EU AI Act, the NIST AI Risk Management Framework and ISO/IEC 42001, aimed at the people who have to sign off on AI deployments rather than build them.
Cursor Learn
Cursor's official free tutorials on AI foundations, working effectively with coding agents, and reviewing and testing AI written code.
Microsoft Copilot Studio Training and Agent Academy
Microsoft's free learning paths, Agent in a Day workshops and open source Agent Academy for building low code AI agents in Copilot Studio.
Machine Learning Certificate (eCornell)
Cornell's online machine learning certificate authored by Kilian Weinberger, covering classifiers, kernels, deep learning and transformers with real mathematics rather than tool demonstrations.
AWS Skill Builder
Amazon's own training platform, covering the full AWS certification ladder plus a growing catalogue of Bedrock, SageMaker and Amazon Q content, with sandboxed labs behind the paywall.
The Elements of Statistical Learning (Hastie, Tibshirani, Friedman)
The rigorous reference for classical statistical learning, free from the authors, and considerably harder than most people expect going in.
PyTorch Official Tutorials and Learn the Basics
The official PyTorch tutorial set, from the sixty minute blitz through to distributed training, quantisation and edge deployment.
Storytelling with Data (Cole Nussbaumer Knaflic)
A practical guide to communicating analysis to people who will decide something based on it, built around decluttering, focus and narrative rather than chart taxonomy.
MIT 6.390 Introduction to Machine Learning (formerly 6.036)
MIT's undergraduate introduction to machine learning, released free with notes, exercises and auto graded problems, taking a modelling and prediction view rather than a tools first one.
Hugging Face Audio Course
Hugging Face's free course on applying transformers to speech and audio, covering recognition, classification and text to speech with runnable Colab notebooks throughout.
Stanford CS224U: Natural Language Understanding
Christopher Potts's Stanford course on natural language understanding, covering contextual representations, retrieval augmented systems, evaluation methodology and original research project work.
Hugging Face smol course: Fine Tuning Small Language Models
Hugging Face's free hands on course on fine tuning small language models, covering supervised fine tuning and chat templates, evaluation, preference alignment with DPO, vision language models, reinforcement learning, and synthetic data generation.
Microsoft AI For Beginners Curriculum
A free 24 lesson curriculum covering symbolic AI, neural networks, computer vision, NLP, reinforcement learning and AI ethics with PyTorch and TensorFlow notebooks.
Streamlit Official Documentation and Tutorials
Documentation and tutorials for the Python framework most data and ML people use to turn a script into a shareable web app without touching front end code.
Machine Learning Street Talk
Long form technical interviews with machine learning researchers, in which the hosts have read the papers and are willing to disagree with their guests.
Co-Intelligence and One Useful Thing (Ethan Mollick)
A Wharton professor's book and newsletter on working with AI, aimed at people who use these tools rather than build them, built on structured classroom and workplace experimentation.
Last Week in AI
A weekly news roundup covering AI research, products, policy and safety, hosted by two people with technical backgrounds who read the papers they discuss.
Evidently AI Open Source Courses
Free structured courses on machine learning monitoring, observability and language model evaluation, with video lessons, notes and runnable code from the team behind the Evidently library.
Optuna Documentation and Tutorials
Official documentation for Optuna, the hyperparameter optimisation framework, covering the define-by-run API, samplers, pruners, distributed studies, visualisation and the Optuna Dashboard.
pandas Official Documentation and User Guide
The official documentation for pandas, including the ten minute introduction, the full user guide, comparison guides for people arriving from SQL or R, and the complete API reference.
Dagster University
Free structured courses from the makers of Dagster, teaching asset based data orchestration through hands on projects, with tracks for the core tool, dbt integration and ETL patterns.
Human Compatible: AI and the Problem of Control by Stuart Russell
The author of the standard AI textbook argues that the field's foundational definition of intelligence is wrong, and proposes a technical alternative built on uncertainty about human preferences.
Content Marketing Strategy with AI
Apply generative AI tools and structured prompting across the complete content marketing lifecycle.
Prompt Writing 101
Learn to craft clear, effective prompts for generative AI tools in this free introductory class.
Machine Learning A-Z: AI, Python & R
The SuperDataScience flagship that has put more than a million students through machine learning, covering regression, classification, clustering and deep learning in both Python and R with ready-made templates.
Learn Prompting
An open-source, community-built guide to prompt engineering that grew out of an academic collaboration, covering everything from basic prompting to advanced techniques and AI red teaming, with free and paid tiers.
Maven (AI and LLM Cohort Courses)
A marketplace for live, cohort-based courses taught by working practitioners, home to some of the most respected paid AI and LLM courses run by independent experts rather than a faceless platform.
Section AI for Professionals
Practical AI upskilling for knowledge workers and teams from Greg Shove's Section, focused on making professionals productive with AI tools rather than teaching them to build models.
Google Cloud Generative AI Leader Certification
Google Cloud's business-focused generative AI certification, aimed at managers and decision makers rather than engineers, covering AI strategy, use cases, and where Gemini and Vertex AI fit.
Natural Language Processing Specialization (DeepLearning.AI)
DeepLearning.AI's four-course tour of natural language processing, from classic vector and probabilistic methods through to sequence models, attention, and transformers, built with Younes Mourri and Lukasz Kaiser.
Multi AI Agent Systems with crewAI
A free, short DeepLearning.AI course taught with crewAI founder João Moura, walking through how to design teams of cooperating AI agents with defined roles, tasks, and tools, and how to wire them together into a working multi-agent system.
Google Cloud Professional Machine Learning Engineer Certification
Google's professional level certification for designing, building and productionising machine learning models on Google Cloud, especially with Vertex AI.
Eureka Labs and LLM101n (Andrej Karpathy)
Andrej Karpathy's AI native education company, whose flagship LLM101n course walks you through building a small language model end to end, from the tokenizer up to a working chat model you can talk to.
Tech With Tim (Tim Ruscica)
A popular programming channel run by Tim Ruscica, covering Python, machine learning and AI project builds along with general software development, aimed largely at beginners and early intermediate learners.
deeplizard Deep Learning Courses
deeplizard's structured deep learning courses on PyTorch, Keras, reinforcement learning, GANs and generative AI, delivered free on YouTube and backed by written lessons, quizzes and code on their site.
Data Science Infinity (Andrew Jones)
A self paced data science programme from former Amazon and Sony data scientist Andrew Jones, built around a practical curriculum, a Slack community, and unlimited direct mentorship.
Codewars Coding Kata Practice
A free, gamified platform of community created coding challenges, called kata, that sharpen your programming fundamentals across many languages including Python.
Scrimba (Interactive Coding and AI Engineer Path)
A genuinely clever interactive learning platform where you can pause the instructor's screencast and edit their actual code, now branching from its frontend roots into an AI Engineer path.
Frontend Masters (with Machine Learning and AI Courses)
A premium subscription known for expert led, workshop style web development courses, now with a small but high quality set of practical machine learning and AI engineering courses aimed squarely at working developers.
DataWars (Hands On Data Science Practice)
A practice focused platform built around real world data science projects and labs that run in the browser, made for people who have watched the tutorials and now need reps on actual messy datasets.
Vibe Coding 101 with Replit
A free short course taught with Replit's Michele Catasta and Matt Palmer, covering the principles of agentic code development by building and sharing two real applications with an AI coding agent.
OpenCV University
Paid computer vision and deep learning courses from the organisation behind the OpenCV library, covering classical image processing through to PyTorch, TensorFlow and vision transformers.
Runway Academy
Runway's free course library covering AI for visual effects, games and advertising, plus Aleph video transformation, Act-Two character animation and custom workflows.
AI in Healthcare Specialization (Stanford University)
Stanford's five course programme on applying AI in clinical settings, unusually strong on why healthcare AI fails and refreshingly unwilling to oversell the technology.
Pattern Recognition and Machine Learning (Christopher Bishop)
The definitive Bayesian machine learning textbook, released free by Microsoft Research, and still the best place to learn probabilistic thinking properly.
Data Science from Scratch, Second Edition (Joel Grus)
Builds every core data science tool in plain Python with no libraries, so you find out what pandas and scikit-learn are actually doing when you call them.
CAISP (Certified AI Security Professional)
A hands on AI security certification built around the OWASP LLM Top 10, MITRE ATLAS, STRIDE threat modelling and AI supply chain attacks, assessed by a practical exam rather than multiple choice.
AI Makerspace AI Engineering Bootcamp
A live, cohort based programme for working software engineers who want to ship production AI systems, covering agentic RAG, complex agents, evaluation and deployment, ending in a demo day.
Stanford CS330: Deep Multi-Task and Meta Learning
Chelsea Finn's graduate course on learning from multiple tasks, covering multi-task architectures, meta learning, few shot adaptation, transfer learning and the connection to modern pre-training.
Keras Official Documentation and Code Examples
Documentation, developer guides and the large code examples library for Keras 3, which now runs on TensorFlow, JAX and PyTorch backends.
The Batch by DeepLearning.AI
DeepLearning.AI's weekly newsletter, combining Andrew Ng's opening letter with summarised research and industry news written for practitioners.
Computerphile
A long running computer science YouTube channel featuring university academics explaining concepts on paper, including a substantial catalogue of AI, machine learning and AI safety videos.
Anthropic Cookbook
Anthropic's open repository of runnable notebooks demonstrating practical techniques with Claude, covering tool use, retrieval, structured output, vision, sub-agents and evaluation.
The Cognitive Revolution
A high frequency, long form interview podcast covering AI capability, safety and application, hosted by Nathan Labenz, who tests frontier models extensively and talks to the people building them.
Aider Documentation
Documentation for Aider, the open source terminal based AI pair programming tool, covering installation, chat modes, in-chat commands, repository maps, git integration, model configuration and the code editing leaderboards.
Lenny's Podcast
Lenny Rachitsky's long form interview podcast on product, growth and building companies, which has shifted substantially towards AI product development and the practical realities of shipping with models.
Creative Production with AI
Design AI-assisted creative strategies and build scalable production workflows for content creation.
Performance Marketing with AI
Design AI-informed campaign architectures across search, social, and commerce channels.
AI for Data Analysis Workshop
Learn to use ChatGPT to automate spreadsheet analysis and create interactive dashboards.
Generative AI Basics
A free one-hour introduction to generative AI fundamentals.
Applied Generative AI Engineering Nanodegree
Udacity's intermediate Nanodegree taking you from generative AI fundamentals through large language models and RAG to multimodal applications, with reviewed hands-on projects and a focus on production-ready skills.
Codecademy AI and Machine Learning Courses
Interactive, in-browser courses covering Python for AI, generative AI basics, building chatbots and a machine learning career path, all with zero setup required.
Pluralsight AI and Machine Learning Courses
A large subscription library of AI and ML video courses with skill assessments and guided learning paths, aimed at working tech professionals.
SuperDataScience AI and Data Science Courses
Kirill Eremenko's subscription platform of data science, machine learning, and AI courses, known for intuitive, beginner-friendly teaching and a popular accompanying podcast.
AI Programming with Python Nanodegree
Udacity's foundational nanodegree covering Python, NumPy, Pandas, Matplotlib, the linear algebra behind neural networks, and an introduction to PyTorch, ending with an image classifier project.
Applied AI Course (Applied Roots)
A long-running, unusually thorough Indian machine learning programme that teaches algorithms from the ground up through dozens of real-world case studies, aimed squarely at people trying to break into data science and AI jobs.
Generative AI for Software Development (DeepLearning.AI)
A DeepLearning.AI professional certificate aimed at working developers, covering how to use large language models as genuine coding partners, from prompting and pair programming to using AI across testing, documentation, databases, and software design.
Databricks Generative AI Fundamentals
A free, roughly one-hour primer from Databricks covering the core concepts behind generative AI and large language models, ending in a short quiz that awards a shareable accreditation badge.
Data Science Bootcamp and LLM Bootcamp (Data Science Dojo)
A short, intensive bootcamp that teaches practical data science and large language models, with a verified certificate from the University of New Mexico.
Databricks Certified Generative AI Engineer Associate
A vendor certification that tests your ability to build retrieval augmented generation applications and LLM pipelines on the Databricks platform using Mosaic AI, vector search and Unity Catalog.
Machine Learning CS 7641 (Georgia Tech OMSCS)
The graduate Machine Learning course inside Georgia Tech's Online Master of Science in Computer Science, a rigorous, writing heavy class spanning supervised learning, randomized optimization, unsupervised learning and reinforcement learning, for real accredited credit at a startlingly low price.
Two Minute Papers (Karoly Zsolnai-Feher)
A long running YouTube channel that summarises the latest AI, graphics and simulation research papers in short, enthusiastic episodes, run by a former TU Wien researcher.
LazyProgrammer Machine Learning & AI Courses
The LazyProgrammer catalogue of machine learning, deep learning and AI courses on Udemy and deeplearningcourses.com, known for building models up from the maths and code rather than relying on high level libraries.
IBM AI Product Manager Professional Certificate
IBM's beginner certificate that pairs classic product management skills with generative AI, prompt engineering, and responsible AI.
Interview Query Data Science and ML Interview Prep
A subscription platform covering the full data science interview: SQL, statistics, machine learning, product sense, take homes, and mock interviews.
Exercism (Free Coding Practice with Mentoring)
A completely free, nonprofit platform for practising real coding in over 70 languages, with a standout human mentoring feature, ideal for building fluency in Python before tackling AI and machine learning work.
App Academy (Coding Bootcamp)
One of the most demanding software engineering bootcamps, known for pioneering deferred tuition where you paid little or nothing until you landed a job, and for a genuinely free open source version of its full curriculum.
Codesmith (Software Engineering & AI/ML Immersive)
A selective, high end software engineering immersive known for pushing graduates toward mid and senior level roles, with a growing emphasis on machine learning and AI engineering and a strong open source culture.
100Devs (Leon Noel)
Leon Noel's free, agency style full stack web development bootcamp, delivered through recorded live classes and a large peer community aimed squarely at career changers.
GitHub Copilot Certification (GH-300)
GitHub's official intermediate level certification covering responsible Copilot use, prompt engineering and context crafting, Copilot features across plans, data handling, and privacy and content exclusion settings.
Codedex
A pixel art, game styled learn to code platform covering Python, web basics, SQL and a growing set of AI chapters, aimed squarely at absolute beginners who have bounced off traditional courses.
Salesforce Trailhead and the Agentblazer AI Trails
Salesforce's free training platform, including the Agentblazer trails that teach building, deploying and governing AI agents with Agentforce, Prompt Builder and Data Cloud.
Make Academy
Make's free training platform covering automation scenarios, app connections and AI agents, with structured learning paths and badges for the Make no code automation tool.
Microsoft AI & ML Engineering Professional Certificate
Microsoft's five course intermediate certificate covering the machine learning lifecycle from problem framing through deployment, taught on Azure with scenario based projects like fraud detection and predictive maintenance.
Artificial Intelligence: Implications for Business Strategy
MIT Sloan and CSAIL's executive programme on what AI can and cannot do for an organisation, taught by faculty including Daniela Rus, Regina Barzilay and David Autor.
Zapier Academy
Zapier's free training hub covering Zaps, multi step workflows, filters and paths, AI agents, Zapier MCP and enterprise account administration, taught in short self paced video lessons.
Google NotebookLM (as a Learning Tool)
Not a course, but the most useful study tool released in years, turning your own sources into grounded summaries, audio overviews and questionable but effective revision material.
OpenAI Cookbook
OpenAI's open repository of runnable recipes covering embeddings, function calling, structured outputs, retrieval, evaluation and agents.
Natural Language Processing with Transformers, Revised Edition (Tunstall, von Werra and Wolf)
The Hugging Face team's guide to building with transformers, covering classification, named entity recognition, summarisation, efficiency and training at scale.
Data Science & AI
A Y Combinator backed European online school built around self-paced sprints, peer code review and one-to-one mentoring from working practitioners, with no lectures at all.
LlamaIndex Official Documentation, Tutorials and Examples
The official learning path for one of the two dominant RAG and agent frameworks, built from starter tutorials, conceptual guides and a very large library of runnable examples.
AWS Certified Generative AI Developer - Professional (AIP-C01)
AWS's professional tier generative AI credential, aimed at developers who already ship on AWS and now have to prove they can design, deploy and operate LLM applications on Bedrock and the services around it.
DataExpert.io Academy
Zach Wilson's data engineering and AI engineering academy, built around live cohort bootcamps, a large self paced library and a very active Discord community.
Stanford CS 329S: Machine Learning Systems Design
Chip Huyen's Stanford course on designing, deploying and maintaining production machine learning systems, covering data pipelines, deployment, monitoring, drift and the organisational side of ML.
MIT 6.034: Artificial Intelligence (Patrick Winston)
Patrick Winston's classic MIT artificial intelligence course from 2010, covering search, constraints, representation, learning and the conceptual foundations of the field.
Google Agent Development Kit (ADK): Official Docs, Quickstarts and Samples
Google's open source agent framework and its accompanying documentation, quickstarts and sample agents, covering multi agent orchestration, tool use, evaluation, observability and deployment to Cloud Run, GKE and Vertex AI.
JAX Official Documentation and Tutorials
The official JAX documentation and its JAX 101 tutorial series, covering just in time compilation, automatic vectorisation, automatic differentiation, pytrees, pseudorandom number generation, sharding and the tracing model underneath it all.
Stanford CS324: Large Language Models
Public lecture notes from Stanford's first large language model course, covering capabilities, harms, data, security, legality, modelling, training, parallelism and scaling laws.
UiPath Academy
Free vendor training platform covering RPA, document processing, test automation and the newer agentic automation track, with paid certification exams on top.
Gradio Official Documentation and Guides
Guides and reference for the Python library that wraps a model in a web interface in a handful of lines, with direct deployment to Hugging Face Spaces.
Dwarkesh Podcast
Long form interviews with AI researchers, lab leaders, economists and historians, focused on where the technology is going and what it will mean.
DrivenData Competitions
A machine learning competition platform focused on social impact problems, with messier real-world data and smaller fields than Kaggle.
TLDR AI Newsletter
A free daily email summarising AI research, tools and industry news in short bullet form, aimed at engineers who want to stay current without reading everything.
dbt Learn
dbt Labs' free training platform covering analytics engineering with dbt, including the Fundamentals course, advanced modules on testing and deployment, and the paid Analytics Engineering certification.
The AI Daily Brief
A daily briefing on AI news and business implications, hosted by Nathaniel Whittemore, focused on what developments mean for people deploying AI inside organisations.
Practical AI Podcast
A long running weekly podcast on applied machine learning and AI engineering, hosted by practitioners and aimed at people who build and deploy systems rather than read about them.
IIT Madras BS in Data Science and Applications
A full online undergraduate degree in data science from IIT Madras, open without JEE, with proctored in-person exams and four exit points from foundation certificate through to bachelor's degree.
Berkeley LLM Agents MOOC
Berkeley's open course on large language model agents, run as a public MOOC alongside the campus class, with guest lectures from leading researchers and practitioners across the agent field.
Promptfoo Documentation and Red Teaming Guides
Documentation for promptfoo, the command line evaluation and red teaming tool for language model applications, covering assertions, benchmarking across models, and adversarial security testing.
Pydantic AI Documentation
Official documentation for Pydantic AI, the typed agent framework from the Pydantic team, covering agents, dependencies, structured outputs, tools, multi agent workflows and instrumentation.
Data Skeptic
Long running podcast hosted by Kyle Polich covering data science, statistics and machine learning, organised into themed seasons that work through a topic properly with researchers and practitioners.
Weaviate Academy and Official Documentation
Weaviate's free structured courses covering vector database concepts, hands-on Python work, embedding models, and building search and RAG applications, alongside the main product documentation.
SemiAnalysis
Dylan Patel's research publication on semiconductors and AI infrastructure, covering accelerator supply chains, datacentre economics, training and inference costs, networking, memory and the physical constraints behind the AI industry.
OpenAI Codex
OpenAI's coding agent, available as a cloud agent inside ChatGPT, a command line tool and an IDE extension, with official documentation covering setup, configuration and agent workflows.
NumPy Official Documentation and Tutorials
The official NumPy documentation, covering the absolute beginners guide, the fundamentals of arrays, broadcasting and indexing, plus the complete API reference and a set of applied tutorials.
Gwern.net Essays
Gwern Branwen's long running collection of heavily researched essays, including the scaling hypothesis writing that shaped how a lot of people think about why large models work.
Databricks Certified Data Engineer Associate
Databricks' entry level data engineering certification, covering the Lakehouse architecture, Delta Lake, ETL with Spark SQL and Python, incremental processing and production pipeline management.
The Worlds I See by Fei-Fei Li
A memoir from the Stanford researcher behind ImageNet, covering an immigrant childhood, the building of the dataset that started the deep learning era, and her later work on AI and human values.
Snowflake University Hands-On Essentials
Free self-paced workshops from Snowflake covering the data warehouse fundamentals, data engineering, data sharing and analytics, with graded lab work and badges on completion.
Hugging Face Transformers Documentation
Reference documentation for the library that has become the default way to load, run and fine-tune pretrained models, covering the high level pipelines, the model and tokenizer classes, training and generation.
IBM AI Engineering Professional Certificate
IBM's flagship AI engineering certificate on Coursera, covering Python, machine learning, deep learning with Keras and PyTorch, and generative AI applications.
MIT xPRO and Professional Education AI Programs
MIT's online professional certificate programs in applied and no-code AI, delivered by MIT xPRO and MIT Professional Education, alongside the genuinely free MIT OpenCourseWare and 6.S191 deep learning lectures.
Google Cloud Skills Boost (Generative AI Learning Path)
Google's official training platform, formerly Qwiklabs, with hands-on labs inside a real Google Cloud console and a dedicated generative AI learning path that earns skill badges.
100x Engineers Generative AI Cohort
An India-based live cohort bootcamp focused on building with generative AI, taking developers through LLMs, image and video models, retrieval, and agents by shipping real projects rather than sitting through lectures.
Databricks Certified Machine Learning Associate
An entry to intermediate certification proving you can use Databricks and its ML tooling, including MLflow, AutoML and the Feature Store, to build machine learning solutions.
Associate AI Engineer for Developers (DataCamp)
DataCamp's applied track and certification for developers who want to add LLM features to software, covering the OpenAI API, prompting, RAG, vector databases and LangChain in the browser.
CodeSignal Learn (with Cosmo AI tutor)
A practice first learning platform from the technical assessment company CodeSignal, teaching coding, data science, machine learning and prompt engineering through short interactive lessons guided by an AI tutor called Cosmo.
The Data Incubator (Pragmatic Institute)
A data science and AI training programme, now part of Pragmatic Institute, best known for its selective fellowship model aimed at advanced degree holders moving into industry data roles.
TripleTen Data Science and AI Bootcamp
An online, part time bootcamp covering data science, machine learning, and increasingly AI, built around heavy human support with tutors, code reviewers, and career coaches, and a money back job guarantee on eligible programs.
AWS Machine Learning University (MLU)
The same free machine learning curriculum Amazon uses to train its own engineers, covering ML fundamentals, computer vision, NLP, and more, though it inevitably leans toward the AWS way of doing things.
Coddy (Gamified Interactive Coding Platform)
A gamified, hands on coding platform in the Duolingo mould, built around short interactive steps that keep beginners writing code daily across Python, web development, SQL, and introductory data and AI paths.
Salesforce Certified Agentforce Specialist
Salesforce's certification for building and configuring Agentforce agents, weighted towards prompt engineering and agent concepts with additional coverage of Data Cloud, Service Cloud and Sales Cloud.
ISACA AAISM (Advanced in AI Security Management)
ISACA's advanced credential for security managers who have inherited AI risk, weighted 31 percent governance, 31 percent risk management and 38 percent AI specific technologies and controls.
HubSpot Academy AI Courses
HubSpot's free AI training for marketing, sales and service teams, covering prompting, personalisation and reporting, plus a bootcamp built around the Breeze AI toolkit.
Deep Learning (Goodfellow, Bengio and Courville)
The canonical deep learning textbook, free online, still excellent on foundations and now badly dated on everything that came after 2016.
LLM Engineer's Handbook (Iusztin and Labonne)
An end to end build of a real LLM application, covering data pipelines, fine tuning, preference alignment, retrieval, evaluation and deployment on AWS.
Diffusion Models Course
Hugging Face's free course on diffusion models, moving from sampling and training basics through fine tuning and guidance to Stable Diffusion and beyond, taught through theory pages and notebooks.
Dynamous AI Mastery
Cole Medin's paid community and course platform for building production AI agents, combining a structured agent build curriculum with templates, live coaching and a builder community.
Dify Documentation and Tutorials
Official documentation for the open source LLM application platform, covering workflows, agents, RAG, plugin development, the REST API and self hosted deployment.
Microsoft Certified: Machine Learning Operations Engineer Associate (AI-300)
The replacement for the retired DP-100, covering MLOps and GenAIOps on Azure including model lifecycle, observability, infrastructure as code and generative AI quality assurance.
The TWIML AI Podcast
Sam Charrington's long-running interview podcast covering machine learning research and industry practice, with a large searchable archive going back to 2016.
Microsoft PL-300: Power BI Data Analyst Associate
Microsoft's Power BI analyst certification, with a free Microsoft Learn path covering data preparation, modelling, DAX, visualisation and deployment.
Eye on AI Podcast
A weekly interview podcast hosted by former New York Times correspondent Craig Smith, featuring long conversations with AI researchers, founders and academics.
Gradient Dissent
Weights & Biases' interview podcast on applied machine learning, hosted by Lukas Biewald, focused on how teams actually build and ship models in industry.
DSPy Documentation and Tutorials
Official learning materials for DSPy, the framework that replaces hand written prompts with composable modules and automatic optimisation, covering signatures, modules, metrics and optimisers.
Qdrant Documentation and Tutorials
Documentation, tutorials and learning paths for the Qdrant vector database, covering semantic search, filtering, hybrid retrieval, quantization, multitenancy and production operations.
vLLM Documentation
Documentation for vLLM, the high throughput open source inference and serving engine, covering PagedAttention, continuous batching, quantisation, distributed serving across tensor and pipeline parallelism, and the OpenAI compatible API server.
The 80,000 Hours Podcast
Long form interviews on how to use a career to do good, with heavy and increasing coverage of AI safety, governance, policy and the research agendas behind them.
Ollama Official Documentation
Documentation for the local model runner that has become the default way to run open weight language models on your own machine, covering installation, the model library, the API and customisation through Modelfiles.
Braintrust Documentation and Evaluation Guides
Documentation for the LLM evaluation and observability platform, covering experiment tracking, scoring functions, dataset management, prompt iteration and production monitoring.
Google AI Essentials
Google's beginner-level AI course covering responsible use, prompting basics, and integrating AI into everyday work tasks.
Great Learning PG Program in AI and Machine Learning
An Indian-headquartered platform with a huge free course library plus paid postgraduate AI and ML programs run with university partners like UT Austin, Johns Hopkins and MIT, aimed at career changers wanting a recognised certificate.
Khan Academy AI and Khanmigo
Free, nonprofit lessons that explain AI in approachable terms, plus Khanmigo, an AI tutor aimed mainly at students, parents and teachers rather than future engineers.
LinkedIn Learning AI Courses
Short, approachable AI video courses with completion certificates that post straight to your LinkedIn profile, aimed at professionals across all roles.
Sololearn AI and Coding Courses
A mobile-first, gamified learning app with short lessons on Python, generative AI, and machine learning basics, aimed squarely at total beginners.
IBM Applied AI Professional Certificate
IBM's beginner certificate that gets you using AI through APIs and chatbots rather than building models from scratch, covering AI concepts, a no-code Watson Assistant chatbot, Python basics, and IBM Watson services for vision, language, and speech.
NVIDIA-Certified Associate: Generative AI and LLMs (NCA-GENL)
An entry level certification from NVIDIA covering the fundamentals of large language models, prompt engineering, experimentation and the software techniques behind building generative AI systems.
Machine Learning Mastery (Jason Brownlee)
Jason Brownlee's long running site of practical, code first machine learning tutorials and ebooks, built around getting working results in Python fast rather than teaching the underlying theory.
Nucamp AI Essentials for Work Bootcamp
Nucamp's 15 week, part time bootcamp that teaches non technical professionals to use ChatGPT and other AI tools inside their existing jobs.
Microsoft AI Skills Navigator
A free Microsoft hub that asks about your role and goals, then points you toward AI courses, credentials, and learning paths across Microsoft Learn, LinkedIn Learning, and GitHub.
Flatiron School (Data Science and AI Bootcamp)
A long established US coding bootcamp offering immersive data science, software engineering, cybersecurity, and AI focused programs, known for a rigorous curriculum, a strong community, and dedicated career coaching, available full time or part time.
Exponent (Tech Interview Prep, incl. ML and Data Science)
A tech interview prep platform strong on product, data science, and machine learning engineer interviews, with polished courses, a big video answer library, and a genuinely useful peer mock interview system.
Fullstack Academy (Coding and AI/ML Bootcamps)
A long running immersive bootcamp, originally famous for JavaScript full stack training out of New York, that now runs software engineering, data analytics, cybersecurity, and AI and machine learning tracks online.
IBM SkillsBuild
IBM's free skilling programme for students, job seekers and educators, covering AI fundamentals, data, cybersecurity and professional skills, with Credly badges issued at the end of each path.
SnowPro Specialty: Gen AI (GES-C01)
Snowflake's specialty certification covering Cortex AI functions, Cortex Search and Analyst, fine tuning, Document AI and the governance side of running generative AI inside the data platform.
ISACA AAIA (Advanced in AI Audit)
ISACA's AI audit credential for CISA holders and qualified accountants, weighted 33 percent governance and risk, 46 percent AI operations and 21 percent auditing tools and techniques.
Synthesia Academy
Synthesia's free training on making AI avatar videos for business, built around the FOCA scripting framework, with completion certificates and a Synthesia Certified track.
Coding Temple Bootcamps
Online bootcamps in AI software engineering, data analytics, cybersecurity and QA, priced far below the bootcamp average and backed by a conditional tuition guarantee.
TensorFlow Official Tutorials and Guides
Google's official TensorFlow and Keras tutorial collection, running in Colab, covering everything from a first classifier to TPU training and deployment.
Grokking Deep Learning (Andrew Trask)
Builds a neural network library from scratch in NumPy, with no frameworks, so that backpropagation stops being something you trust and becomes something you have implemented.
Cognitive Class
IBM's free data science, AI and cloud learning platform, with over 100 courses, hands-on lab environments and badges that cost nothing to earn.
Pinecone Learn
Pinecone's free library of articles and guides on embeddings, vector search, indexing algorithms and retrieval augmented generation, ranging from conceptual foundations to product specific how tos.
MongoDB University: GenAI and Vector Search Learning Paths
MongoDB's free training platform, including vector search, embeddings, RAG and GenAI developer paths that culminate in shareable learning badges.
Applied Data Science with Python Specialization
A five course Michigan specialization covering pandas, plotting, applied machine learning with scikit-learn, text mining and social network analysis.
Hard Fork Podcast
Kevin Roose and Casey Newton's weekly technology podcast from the New York Times, covering AI developments and their consequences for a general audience.
NPTEL AI and Machine Learning Courses
India's national online course platform, delivering university lecture courses from the IITs and IISc, including a large catalogue of AI, machine learning and deep learning subjects with proctored certification.
Langfuse Documentation and Academy
Documentation and conceptual guides for Langfuse, the open source observability, prompt management and evaluation platform for language model applications.
Arize Phoenix Documentation and Tutorials
Documentation and example notebooks for Phoenix, the open source tracing, evaluation and experimentation tool for language model applications, built on OpenTelemetry.
Unsloth Documentation and Notebooks
Documentation and ready to run notebooks for Unsloth, the fine-tuning library that trains models faster with lower memory use, covering LoRA and QLoRA, reinforcement learning with GRPO and DPO, dataset preparation, and export to GGUF and other formats.
Weapons of Math Destruction by Cathy O'Neil
Cathy O'Neil's account of how opaque scoring models in lending, hiring, education, policing and insurance cause harm at scale, written by a mathematician who worked in hedge funds and ad tech.
Apache Airflow Official Documentation and Tutorials
Official documentation for the workflow orchestration platform that runs a large share of the world's data and machine learning pipelines, covering core concepts, tutorials, operators and deployment.
Google Cloud Professional Data Engineer Certification
Google Cloud's professional level certification for data engineers, covering pipeline design, storage selection, BigQuery, Dataflow, orchestration, machine learning deployment and operational reliability.
The Gradient Podcast
Long form interviews with AI researchers, conducted by a host who has read the work, covering research programmes rather than product announcements.
Deep Learning Nanodegree (Udacity)
Udacity's project-based deep learning program, walking through neural networks, convolutional networks, recurrent networks, GANs, and model deployment, with reviewed portfolio projects and mentor support as the headline features.
AlgoExpert and MLExpert (Coding and ML Interview Prep)
Clement Mihailescu's popular interview preparation platform, with AlgoExpert for coding interviews and the MLExpert add on covering machine learning concepts, practical questions and ML system design for people interviewing for ML and data roles.
GeeksforGeeks AI, Machine Learning and Data Science Courses
The AI, machine learning and data science material from GeeksforGeeks, a site far better known as a giant free reference for programming and computer science that has expanded into paid self paced and live courses.
CareerFoundry Data Analytics Bootcamp
An online, mentor led bootcamp from a Berlin based provider, best known for its data analytics program, pairing self paced coursework with a personal mentor and tutor and a conditional job guarantee.
HackerRank
A coding practice and skills assessment platform that many employers use for first round screens, with structured Python and SQL tracks that suit earlier stage learners.
Workera (AI Skills Assessment Platform)
An AI powered skills assessment platform, spun out of Andrew Ng's ecosystem, that measures your data and AI abilities and maps them to roles, rather than teaching you the material itself.
Hack Reactor (Software Engineering Bootcamp)
A well known immersive software engineering bootcamp that once carried a reputation as one of the most selective and advanced programs, teaching JavaScript full stack development with an intense project driven format.
Team Treehouse (Online Learning Platform)
A friendly, beginner focused subscription platform for learning web development, Python, and related skills through polished video courses, with a more structured project based Techdegree option on top.
Hyperskill (JetBrains Academy)
JetBrains backed project first learning platform where you build real applications inside a JetBrains IDE, with tracks covering Python, Java, backend development and a newer AI engineering path.
AI Camp AI Bootcamp
An online AI programme for students aged 13 and up, taught in groups of four to six, where the whole three weeks is spent shipping one working AI product.
Replit 100 Days of Code
Replit's free 100 day Python course taught by David Morgan, built around a small project each day in the browser with no local setup required.
LangSmith Documentation and Evaluation Guides
LangChain's documentation for tracing, evaluating and monitoring LLM applications, and one of the more accessible free introductions to LLM evaluation practice.
Ultralytics YOLO Documentation and Tutorials
The official learning resources for Ultralytics YOLO, the most widely used object detection framework, covering training, validation, export and deployment for detection, segmentation and pose estimation.
MLflow Official Documentation and Tutorials
The official documentation for MLflow, the open source experiment tracking and model registry tool, covering tracking, projects, models, the registry and newer LLM evaluation features.
deepset Haystack Documentation and Tutorials
Open source framework and learning materials for building retrieval augmented generation and search pipelines, with runnable tutorials covering indexing, retrieval, ranking and evaluation.
Ragas Documentation and Evaluation Guides
Documentation and how to guides for Ragas, the evaluation library for retrieval augmented generation and agent systems, covering metrics, test set generation and experiment tracking.
Chroma Documentation and Guides
Official documentation for Chroma, the Apache 2.0 licensed embedding database, covering collections, querying, embedding functions, full text and hybrid search, and the managed Chroma Cloud service.
Tableau Certification Track
Salesforce's certification path for Tableau, running from the Desktop Specialist entry exam through Certified Data Analyst and on to the Consultant and Architect credentials, with official eLearning and free training videos.
Super Data Science Podcast
Jon Krohn's long running interview podcast covering data science, machine learning and AI, with a mix of long technical guest interviews and shorter solo explainer episodes.
Milvus Documentation and Tutorials
Documentation for the open source vector database, covering the embedded and standalone modes, index types, hybrid search, filtering and the distributed deployment architecture.
Prediction Machines by Agrawal, Gans and Goldfarb
Three economists reframe artificial intelligence as a drop in the cost of prediction, and work through what that implies for business decisions, job design and strategy.
The AI Creator Course
Anthony Gallo's program on using AI tools to script, film, and scale content faster. Built for YouTubers, freelancers, and solo creators.
MasterClass AI Classes (Platform Review)
MasterClass has added AI-focused sessions to its famously cinematic catalog, teaching how to think about and work with AI from big-name instructors, with the polish you expect and the hands-on depth you might not.
Simplilearn AI and Machine Learning Programs
Bootcamp-style AI and ML programs delivered with university and IBM co-branding, combining live online classes, self-paced content, capstones and job assistance.
Founderz Master in AI and Business
A self-paced online program in AI and business, delivered in partnership with Microsoft, aimed at non-technical professionals and entrepreneurs who want to apply AI commercially.
Scaler Data Science and Machine Learning Program
Scaler's live, instructor-led data science and machine learning program, built around structured cohorts, mentorship, and a heavy placement and career-services promise aimed at working professionals trying to switch into data roles.
Advanced Machine Learning Course (Interview Kickstart)
A long machine learning program built around landing an ML role at a big tech company, taught by FAANG practitioners with heavy interview prep at the end.
Machine Learning Engineering Bootcamp (Springboard)
A mentor-led, six-month online bootcamp aimed at software engineers who want to move into machine learning engineering, with a conditional job guarantee.
PG Programme in Machine Learning and AI (upGrad and IIIT Bangalore)
A long, university-linked postgraduate program delivered with IIIT Bangalore, aimed at working professionals who want a recognised AI and ML credential.
MIT Applied Data Science Program (MIT Professional Education via Emeritus)
A 12 week part time program from MIT Professional Education, delivered with Emeritus, covering practical data science and machine learning with a certificate of completion.
AWS Certified Machine Learning - Specialty (MLS-C01)
The long standing specialty certification for machine learning on AWS, covering data engineering, exploratory analysis, modeling and ML operations, largely through the lens of SageMaker.
Codefinity (Interactive Coding and AI Platform)
A browser based, gamified learning platform with hands on tracks in Python, SQL, data analytics, data science and machine learning, aimed squarely at beginners who want to write code from lesson one rather than watch someone else do it.
Udacity (Nanodegree Platform Review)
A project heavy Nanodegree platform that was ahead of its time on applied AI, but which now feels expensive and uneven after years of restructuring and its acquisition by Accenture.
Thinkful (Mentor Led Online Bootcamp)
An online bootcamp built around one to one mentorship, offering software engineering, data science, data analytics, and UX design tracks in flexible part time and full time formats.
GitHub Foundations Certification (GH-900)
GitHub's beginner certification covering Git and GitHub basics, repositories, collaboration, project management, modern development practices, and the privacy, security and administration side of the platform.
Udemy (Platform Review)
The largest open marketplace for online courses, with tens of thousands of tech titles, aggressive discounting, a 30-day refund policy and no meaningful quality control on who gets to teach.
Cisco Networking Academy AI Courses and AI Certifications
Cisco's free AI courses on Networking Academy, including Introduction to Modern AI, alongside a newer paid certification track covering AI practitioner skills and AI data centre infrastructure.
Anthropic Claude Certification Program
Anthropic's proctored certification track covering Claude for business users, developers and solution architects, delivered through Pearson VUE and routed through the Claude Partner Network.
Microsoft 365 Copilot Training on Microsoft Learn
Microsoft's own free training for Microsoft 365 Copilot, covering prompting in Word, Excel, PowerPoint, Teams and Outlook, the agent features layered on top, and the admin and compliance side for the people who have to deploy it.
Inspirit AI Scholars Program
A live online AI programme for students in grades 9 to 12, taught in small groups by Stanford and MIT alumni and graduate students, built around a socially focused AI project.
AI Essentials for Business
HBS Online's four week course on AI strategy for business leaders, built around case studies and co-created by Karim Lakhani and Marco Iansiti.
Lovable Official Tutorials and Documentation
Lovable's own video library, guides and documentation for building full stack apps by prompting, covering Supabase, Stripe, authentication and deployment.
Bolt.new Official Docs and Tutorials
The official docs, QuickStart and video tutorials for StackBlitz's browser based AI app builder, aimed squarely at getting you shipping rather than at teaching you to code.
Google AI Studio and Gemini API Learning Resources
Google's official developer path for building on Gemini, strong on reference and examples and weak on anything resembling a structured course.
HeyGen Academy
HeyGen's free official training on making AI avatar videos, covering avatars, voices, scripts, templates, translation and batch production.
PMI CPMAI (Certified Professional in Managing AI)
PMI's AI delivery credential, built on the CPMAI methodology it acquired with Cognilytica, teaching a data first iterative approach to running AI projects.
Adobe Firefly Official Training
Adobe's own free training on Firefly and generative AI for creatives, delivered through Coursera courses and the Experience League learning hub.
AI Engineer Roadmap
A free community maintained visual roadmap for becoming an AI engineer, laying out the topics, tools and concepts in dependency order with linked resources for each node.
ComfyUI Official Documentation and Tutorials
The official documentation for ComfyUI, covering installation, the node interface, built in nodes and step by step tutorials for image, video, audio and 3D generation workflows.
DataScientest (now Liora): Data and AI Bootcamps
A European training provider, founded in France as DataScientest and recently rebranded to Liora, offering blended bootcamps in data analysis, data science, data engineering, machine learning engineering and MLOps alongside cloud and certification tracks.
v0 by Vercel Documentation and Prompting Guides
Official documentation, quickstart and prompt engineering guidance for Vercel's generative UI tool, plus role specific examples and community templates.
IBM Data Analyst Professional Certificate
IBM's entry level data analyst certificate covering Excel, SQL, Python, pandas, visualisation and dashboarding across ten courses with a capstone.
DeepEval Documentation and Learning Resources
The documentation for DeepEval, an open source LLM evaluation framework that brings unit testing conventions to model output, covering metrics, test cases, datasets and CI integration.
ElevenLabs Documentation and Tutorials
ElevenLabs' developer documentation and tutorials covering text to speech, voice cloning, dubbing, sound effects and their conversational agent platform, with API guides and runnable examples.
Label Studio Documentation
Documentation for Label Studio, the open source data labelling platform, covering installation, labelling interface templates, cloud storage sync, machine learning backends, the API and SDK, and the differences between community and enterprise editions.
Cline Documentation
Official documentation for Cline, the open source AI coding agent for VS Code and the terminal, covering model access options, plan and act modes, MCP servers, custom rules, checkpoints and enterprise deployment.
Amazon Q Developer
AWS's coding assistant and agent, with official documentation, workshops and learning paths covering IDE integration, command line use, code transformation and AWS specific development tasks.
Atlas of AI by Kate Crawford
Kate Crawford's material account of artificial intelligence, tracing the mining, labour, data extraction, classification and state power that sit underneath systems usually discussed as if they were purely computational.
Google Colab
The hosted notebook environment that most machine learning tutorials run on, offering free access to GPUs with no setup, plus paid tiers for longer sessions and better hardware.
Skillshare AI and ChatGPT Courses
A creative-first subscription platform with a large, uneven library of short AI, ChatGPT, and generative art classes taught by independent creators rather than institutions.
Certified AI and ML BlackBelt Plus Program (Analytics Vidhya)
A long, mentorship-heavy program from the Analytics Vidhya community that bundles many mini-courses with one-to-one sessions and a large project load.
W3Schools
The web's most familiar beginner reference, with Python, machine learning, and data science intro tutorials that are handy for quick lookups but thin as a real learning path.
Coding Ninjas (Data Science and Machine Learning Tracks)
A popular India focused coding education platform with data science and machine learning tracks, strong on structured practice and doubt support, but with career outcome marketing that runs ahead of reality.
Whizlabs (Cloud and AI Certification Practice)
A long running certification prep platform whose practice exams for AWS, Azure, and Google Cloud AI and machine learning certs are its real strength, though the video courses and interface feel dated.
Masterschool (Tech & AI Career School)
A newer, fast growing career school offering software engineering, data and AI, and cybersecurity tracks, built around a deferred payment model where much of the tuition is tied to landing a job.
Oracle Cloud Infrastructure Generative AI Professional Certification
Oracle's professional level certification covering generative AI services on OCI, including retrieval augmented generation, fine tuning, vector search and deploying agents on Oracle's infrastructure.
AI Strategies for Business Transformation
Kellogg's online executive programme on generative and agentic AI, led by Mohanbir Sawhney, covering customer experience, operations, governance and the societal questions.
BrainStation Bootcamps and Certificate Courses
A polished, campus based bootcamp brand running data science, AI analytics and digital marketing programmes in several cities and live online, at premium prices.
Jovian Courses (Zero to Pandas, Zero to GANs)
A small Indian education startup whose free project-driven Python, pandas and PyTorch courses became quietly popular, taught in a coding-first style with graded assignments.
Microsoft AutoGen Documentation and Tutorials
Microsoft's official learning path for AutoGen, its multi agent framework, covering the beginner friendly AgentChat layer and the lower level core API underneath it.
Maker School: AI Automation
Nick Saraev's paid Skool community teaching the AI automation agency model, built around a day by day roadmap to landing a first client using n8n, Claude Code and similar tools.
Clay University (Clay Academy): GTM and AI Automation Courses
Clay's free training platform covering GTM automation, AI powered enrichment and signal based outbound, including the Clay 101 course and an AI focused automation track.
Advanced Machine Learning Specialization (HSE University, Coursera)
A seven course Coursera specialization from HSE University built with Yandex, spanning deep learning, Kaggle competition technique, Bayesian methods, practical reinforcement learning, computer vision, natural language processing and a physics applications course.
Devin Desktop Documentation (formerly Windsurf)
Official documentation for Cognition's AI editor, covering the Devin Local agent, MCP servers, memories, rules and the migration from Windsurf and Cascade.
MIT Professional Education AI and Data Science Programs
MIT's continuing education arm, offering live online and on campus certificate programs in applied AI, no code and agentic AI, and machine learning for working professionals.
Automation Anywhere University
Automation Anywhere's free training platform for its RPA and agentic process automation products, with role-based learning paths and paid certifications.
Microsoft DP-100: Azure Data Scientist Associate
Microsoft's Azure Machine Learning certification, covering workspace setup, training pipelines, experiment tracking, model deployment and responsible AI on Azure ML.
Ben's Bites
A daily AI newsletter written for builders and non-technical professionals, covering tools, product launches and practical applications rather than research.
KNIME Education and Certification
Free self-paced training for KNIME Analytics Platform, an open source visual workflow tool for data science, with a levelled course structure and optional paid certifications.
Descript Help Centre and Tutorials
Official help centre and tutorials for Descript, covering text based video and audio editing, Studio Sound, Overdub voice cloning, Eye Contact, translation with lip sync and the Underlord AI assistant.
Civitai Model Hub and Community Guides
The largest public repository of open image generation models, LoRAs and workflows, with community written articles, guides and example prompts attached to almost every upload.
PyTorch Lightning Documentation and Tutorials
Documentation for the training framework that wraps PyTorch, covering the module and trainer structure, distributed training, mixed precision, checkpointing and logging.
Life 3.0: Being Human in the Age of Artificial Intelligence by Max Tegmark
A physicist's accessible tour of what advanced artificial intelligence might mean for consciousness, work, war, society and the long term future.
Ray Documentation and Tutorials
Documentation for the distributed computing framework used for scaling Python workloads, covering the core primitives and the libraries for data processing, training, tuning, serving and reinforcement learning.
Growthschool AI and Generative AI Programs
Live, cohort-based AI and generative AI courses taught by industry mentors, marketed aggressively through free masterclasses that funnel into paid programs.
Machine Learning Engineer Masters Program (Edureka)
A bundled, instructor-led masters-style track that strings together several Edureka courses to take you from Python to machine learning deployment.
Advanced Certification in Data Science and AI (Intellipaat and IITM Pravartak)
A seven-month live online certification run with IITM Pravartak, pairing data science and AI training with a joint certificate and a short IIT Madras campus visit.
Coding Dojo (Coding Bootcamp)
A long running online coding bootcamp known for teaching three full technology stacks in one program, now offering software development and data science and AI focused tracks.
OpenAI Certifications
OpenAI's credential programme, currently three free certificate courses with Credly badges, alongside a proctored certification built with ETS and Pearson that is still restricted to employer pilots.
Oxford Artificial Intelligence Programme
Six week online programme from Oxford's Saïd Business School aimed at business leaders who need to understand AI strategically, taught through the GetSmarter platform with a certificate of attendance from Oxford.
Gemini for Google Workspace Certification
Google's free Skillshop training and exam covering Gemini inside Gmail, Docs, Sheets, Slides and Meet, with a shareable certificate valid for twelve months.
CertNexus Certified Artificial Intelligence Practitioner (CAIP)
A vendor neutral, ISO accredited AI certification exam covering machine learning workflows, model building and responsible AI, with a five course Coursera preparation track.
AiCore: Specialist AI and Data Career Accelerator
A UK part time career accelerator that spends its first eight weeks on software and cloud engineering fundamentals before branching into specialist AI, data engineering or machine learning pathways, built around deployed portfolio projects and industry mentorship.
Flowise Documentation and Tutorials
Official documentation for the open source visual LLM builder, covering Assistant, Chatflow and Agentflow builders plus deployment and integration.
Udacity Self-Driving Car Engineer Nanodegree
Udacity's long-running autonomous vehicle programme covering computer vision, sensor fusion, localisation, planning and control, with C++ and Python projects.
No Priors Podcast
An AI podcast hosted by two investors, interviewing founders and researchers about company building, market structure and where AI value will accumulate.
Midjourney Official Documentation and Office Hours
Midjourney's official documentation, parameter reference and community office hours, covering prompting, parameters, style references and the workflow around the image generation tool.
LangChain Official Documentation
Official documentation for the LangChain stack, covering the Python and JavaScript framework, agent creation and middleware, LangGraph for orchestration, Deep Agents, and LangSmith for tracing and evaluation.
Superintelligence: Paths, Dangers, Strategies by Nick Bostrom
The 2014 philosophical treatment of advanced artificial intelligence that established much of the vocabulary now used in debates about AI risk.
Caltech Post Graduate Program in AI and Machine Learning (Simplilearn)
A long, expensive bootcamp style program delivered by Simplilearn in partnership with Caltech CTME and IBM, covering machine learning, deep learning and generative AI with live classes and a capstone.
Post Graduate Program in AI and Machine Learning (Purdue and Simplilearn)
Simplilearn's long, expensive bootcamp style program in partnership with Purdue University and IBM, covering Python, machine learning, deep learning and generative AI with live classes, masterclasses and a capstone.
Mimo (Learn to Code and AI App)
A slick, gamified mobile app that teaches coding and AI basics in bite sized daily lessons, great for building a habit and getting a first taste, but too shallow to carry you to job ready on its own.
MagicSchool AI Certification for Educators
Free short certification courses teaching educators to use MagicSchool's AI tools, split into a foundational level, an intermediate level on prompting and custom tools, and separate student and administrator tracks.
Data Science Specialization (Johns Hopkins University)
The original mass market data science programme, ten R based courses from Johns Hopkins that trained a generation of analysts and now shows its age.
AI Engineering Bootcamp
A European bootcamp chain's 9 week AI engineering programme, running from Python fundamentals through to LangChain agents and RAG, with campuses across Europe and a remote option.
TripleTen AI Automation Bootcamp
A part time online bootcamp teaching AI automation with tools like Zapier, Make, n8n and UiPath rather than model building, sold with a money back job guarantee.
The Rundown University
The paid learning platform attached to The Rundown AI newsletter, offering tool focused courses, certifications, live workshops and member perks for professionals adopting AI at work.
Reforge AI Courses: AI Foundations, Mastering AI and AI Strategy
Reforge's AI track for product, growth and marketing professionals, spanning AI Foundations, Mastering AI and AI Strategy, delivered as part of an annual membership alongside its wider product management catalogue.
Lex Fridman Podcast
Very long form interviews that began as an AI research podcast and now range across science, politics, sport and culture, with an archive of early episodes that remain genuinely useful.
Alteryx Academy and Designer Certifications
Alteryx's free training and certification programme for its drag and drop analytics platform, including the widely taken Designer Core certification.
The Neuron Newsletter
A daily AI newsletter written in a deliberately casual voice, covering news, tools and practical use cases for a mainstream professional audience.
Guardrails AI Documentation and Hub
Documentation for Guardrails, a Python framework for validating language model inputs and outputs, covering guards, validators, the Guardrails Hub and structured output enforcement.
Meta Data Analyst Professional Certificate
A five course entry level programme covering spreadsheets, SQL, Python, statistics and Tableau, aimed at people with no prior analytics experience.
AI Superpowers by Kai-Fu Lee
A former Google China head and venture investor argues that the centre of gravity in AI is shifting from research to implementation, and that this favours China.
Product School AIPC (Artificial Intelligence Product Certification)
A live cohort certification for product managers shipping AI features, covering prompt engineering, generative AI requirements, AI native UX and evaluation of non deterministic products.
AI Automation Agency Hub and AAA Accelerator
Liam Ottley's enormous free Skool community for the AI automation agency model, functioning as the top of a funnel into his paid AAA Accelerator programme.
CrewAI Official Documentation and Learning Resources
The official documentation and learning material for CrewAI, a Python framework for building multi-agent systems with role based agents, tasks and crews.
Deep Learning A-Z
SuperDataScience's long-running deep learning course covering ANNs, CNNs, RNNs, self-organising maps, Boltzmann machines and autoencoders with template-driven coding walkthroughs.
The a16z Podcast Network
A network of podcasts from venture firm Andreessen Horowitz covering artificial intelligence, infrastructure, health, crypto and policy, including the AI focused show with engineers and founders.
Matthew Berman YouTube Channel
High frequency YouTube coverage of new AI model releases, agent frameworks and tools, with hands on demos and a recurring set of informal model tests.
JetBrains AI Assistant and Junie
AI features built into the JetBrains IDEs, including inline completion, chat with project context, refactoring assistance and the Junie coding agent, priced through a credit system.
Outskill Generative AI Mastermind
Two-day live weekend bootcamp covering ChatGPT, image generation, automation tools, and a quick tour of agent building for working professionals.
Industry Rockstar AI Mastermind
A heavily advertised free AI workshop that pitches you on a paid mastermind, aimed at people who want to turn AI skills into an online business rather than learn the technology for its own sake.
Be10x AI Tools Workshop
A heavily marketed 3-hour live session on practical AI tools like ChatGPT and AI presentation makers, aimed at busy professionals who want quick productivity wins rather than deep skills.
Alison Free AI and Machine Learning Courses
A large free course library with a sizeable AI and machine learning section, funded by advertising and by charging for the certificate rather than the teaching.
INTTRVU.AI: NASSCOM Certified Data Science and AI Program
A live, weekend delivered data science and AI programme aimed at working IT and business professionals in India, covering Python, machine learning, deep learning and generative AI, with NASSCOM FutureSkills certification and interview preparation.
Superhuman AI Newsletter
A large daily AI newsletter aimed at professionals, covering news, tools and prompts in a short scannable format, with a substantial paid product business behind it.
Suno Help Centre and Official Guides
Suno's official help centre and community resources covering music generation, prompting, personas, the Studio editor, rights and ownership, and account questions.
CompTIA AI Essentials
CompTIA's short beginner course on using AI assistants at work, ending in a competency assessment and a downloadable CompCert.
Emeritus Online Programmes
An education company that packages and delivers online certificate programmes in partnership with more than 80 universities, including AI and data science programmes carrying names like MIT, Columbia, Kellogg and Berkeley.
New Society
David Ondrej's paid Skool community focused on building software and AI products with coding agents, aimed at non developers who want to ship products using AI tools.
AutoGPT Platform Documentation
Documentation for the AutoGPT Platform, the block based visual agent builder that grew out of the original autonomous agent project, covering the agent builder, blocks and integrations, self-hosting and the hosted cloud version.
Nexus by Yuval Noah Harari
A history of information networks from writing and scripture through to artificial intelligence, arguing that the new technology differs from every previous one by being an agent rather than a tool.
Skillsoft Percipio (AI and Technology Courses)
The corporate learning platform your employer probably already pays for, with enormous breadth across AI topics and very little depth in any of them.
iNeuron and PW Skills: Data Science and Generative AI Courses
The former iNeuron data science catalogue, now folded into PhysicsWallah's PW Skills platform, offering long form data science, machine learning and generative AI programmes at prices far below Western bootcamps.
Coursiv AI Learning Plan
Mobile-first microlearning app that promises to turn beginners into AI-savvy workers through 5-minute daily lessons and a personalised learning plan.
The AI Advantage Bootcamp (Tony Robbins and Dean Graziosi)
A six week live AI workshop series fronted by Tony Robbins and Dean Graziosi with Igor Pogany teaching, aimed at business owners and professionals who want to automate their own work.
AI For Techies (30 Days of Python Using AI)
An Indian low ticket webinar funnel selling a 30 day Python with AI cohort, with a free workshop at the front and progressively more expensive programmes behind it.
Artificial Intelligence Engineer (AiE)
A private certification body offering the AiE credential for $550, built on its own in-house competency framework, with no external accreditation behind it.
USAII AI Certifications (CAIE, CAIC, CAIS, CAITL)
A private body selling self-awarded AI certifications at prices between $389 and $2,491, with an official sounding name, no external accreditation and multiple-choice exams.
AI Pro University
A low cost self paced AI course sold through an aggressive checkout funnel, whose public review record is dominated by complaints about unexpected recurring charges rather than by the content itself.
BloomTech (formerly Lambda School)
The bootcamp formerly known as Lambda School, which pioneered income share agreements in tech education and was found by the CFPB in 2024 to have misrepresented its job placement rates and the nature of its financing.