PyImageSearch, created by Adrian Rosebrock, is the resource the computer vision community tends to point newcomers toward, and it has earned that reputation the hard way, through years of detailed, genuinely useful tutorials. Where most broad AI courses give computer vision a lecture or two before moving on, Rosebrock has built an entire ecosystem around it, spanning classical image processing with OpenCV, feature detection, object detection and tracking, and modern deep learning approaches to vision, all taught in Python with the same careful, code first style. The free blog is the front door and it is remarkably deep on its own, with long form posts that do not just paste code at you but explain what each step is doing and why, in the voice of someone who has clearly built and debugged these systems in the real world rather than only read about them. When you want more structure, PyImageSearch University packages the material into progressively harder courses, and the books, including the well regarded deep learning for computer vision titles, give you a thorough, project driven path from fundamentals to reasonably advanced work.
The trade offs follow naturally from the focus. This is a specialist resource, so if you want a broad grounding across machine learning, natural language processing and the rest, this is not that, it is computer vision done properly and little else. The strongest structured content is paid, so while the free blog is generous, getting the full guided experience means a subscription or buying the books. The teaching also assumes you are already comfortable in Python and reasonably at ease with the general shape of machine learning, so a complete beginner may want a gentler on ramp first.
And as with any blog that has been running for years, a handful of older tutorials lean on library versions that have since changed, so you occasionally have to adapt code as you go. My take is that if computer vision is the part of AI that actually excites you, PyImageSearch is close to the best place to learn it as a practitioner. Spend real time in the free blog to confirm the domain grabs you, and once it does, the university and the books are a worthwhile investment for turning that interest into the ability to build working vision systems.