Mar 6
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Most people try to learn AI engineering from random tutorials. But someone just open-sourced a complete AI engineering hub on GitHub. It’s called AI Engineering Hub, and it’s basically an entire curriculum disguised as a repository. Inside the repo you’ll find real projects like: • Agentic RAG pipelines from scratch • Multi-agent systems with CrewAI, AutoGen, and LangGraph • Voice AI agents with real-time streaming • MCP server implementations with real use cases • Fine-tuning DeepSeek models on consumer GPUs • A full NotebookLM-style clone with RAG and citations • Multi-agent research systems that run locally The best part is how it’s structured. The projects are split into three difficulty levels: 22 beginner projects 48 intermediate projects 23 advanced projects So you can go from learning what RAG is to building production-ready AI agents with memory, reasoning, and research pipelines. If you want to understand how modern AI systems are actually built, this repo is worth exploring.