Tech With Tim, run by Tim Ruscica, is one of the better known programming channels aimed at beginners and early intermediate learners, and its strength is a calm, patient, project first teaching style. Rather than lecturing at you, Tim tends to build something on screen, explaining as he goes, and viewers reliably report that his pacing and clarity make otherwise intimidating topics feel manageable. For the AI and machine learning side specifically, the channel offers a good spread of approachable builds, things like neural network projects, reinforcement learning experiments, chatbots and small AI powered applications in Python, which are a genuinely enjoyable way to see the ideas working rather than just reading about them. Combined with a large free back catalogue that also covers general Python and software development, it is the kind of place you keep coming back to whenever you need to get a practical project off the ground.
The honest limitation is depth. The machine learning content is applied and introductory by nature, so it shows you how to wire up and run models far more than it explains the maths and theory underneath them, which is fine as a starting point but leaves a gap you will eventually need to fill elsewhere. Because the channel spans programming broadly rather than focusing solely on AI, it is a collection of useful tutorials rather than a structured curriculum, and like most tutorial led learning it can give a false sense of mastery if you only ever follow along without then building something of your own from scratch. The more structured, mentored experience lives in a separate paid developer community rather than in the free videos, so the YouTube content is best thought of as an on ramp.
My take is that Tech With Tim is exactly right for a particular moment in the journey, which is when you want to start doing rather than just studying. Use it to build confidence and get real projects running, enjoy the friendly style while you do, and then move on to more rigorous, theory driven material once you are ready to understand why the code you have been writing actually works.