microsoft/generative-ai-for-beginners

A structured, self-paced curriculum that walks developers through generative AI from first principles all the way to building functional applications using APIs and prompting techniques. The 21 lessons progress logically, covering core concepts like large language models, prompt engineering, embeddings, and retrieval-augmented generation before moving into hands-on coding exercises. Each lesson includes written explanations, code samples, and supplementary video content, making it approachable for someone who writes code but has never touched an AI API before. The honest value here is onboarding speed. If you are bringing a backend developer onto an AI-adjacent project, or if you yourself are coming from a traditional software background and want a credible foundation before shipping anything, this compresses weeks of scattered reading into a coherent path. The material is well-maintained and genuinely practical rather than purely academic. The reservation is real though: if you have already shipped even one LLM-powered feature, most of this will feel slow and introductory. It is a starting line, not a reference shelf. -> Best for: traditional software developers making their first serious move into building AI-powered products.