ai-engineering-hub

Why we included this project

This is one of the most practical self-study paths for engineers who want to move from reading about LLMs to actually building with them. Instead of centering on a single framework, it collects dozens of working projects sorted by difficulty, so you can start with a simple OCR app or a basic RAG pipeline and work up to agentic workflows, voice bots, and fine-tuning. Each project pairs a real implementation with a tutorial, which makes it easy to adapt the code to your own stack rather than just copying a demo. The beginner-to-advanced progression is useful for teams onboarding new members or for individuals building a portfolio of AI engineering work. It is a learning resource and reference index rather than a tool you deploy, so treat it as a place to learn and pick projects from, not something to run in production.