learn-ai-engineering

Why we included this project

For anyone starting from scratch, this is a well-picked collection of free material that walks you from linear algebra and probability through Python and classical ML libraries like scikit-learn and XGBoost, then into deep learning, NLP, computer vision, and hands-on agent work with RAG. The author has chosen the courses, videos, and docs that hold up at each step, so you can follow a clear order rather than hopping between YouTube, Coursera, and university pages on your own. For a developer or small team getting into AI, it saves hours of research and gives you a vetted starting syllabus that stays practical as you move from foundations to building agentic systems.