AI-Engineering.academy

Why we included this project

Most AI tutorials teach isolated tricks; this repo is the opposite. It lays out a single ordered curriculum that moves from prompt engineering basics to building RAG systems from scratch without a framework, then into fine-tuning and shipping models to production. The modules are practical, pairing each concept with implementation guidance and case studies rather than academic theory. That makes it a useful self-study map for developers and students, and a handy reference for a team lead pointing newcomers at LLM work. Since it is community-maintained and open to contributions, the content tends to keep pace with what practitioners actually need.