Learning Hub · AI Hands-On
AI Hands-On Labs
Practice-first learning — each lab is a runnable experiment with real code, real prompts, and real outputs. Clone the repo and run locally with your own LLM.
4
Labs Planned
1
Live Now
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Growing
Foundation teaches AI breadth-first. Advanced goes depth-first on theory. Hands-On is where you run the code — each lab is a self-contained experiment you can reproduce locally.
Read the Theory
Each lab links back to the Advanced chapter that explains why the technique works. Read the theory first, then validate it in the lab.
Run the Code
Every experiment has a GitHub repo with runnable Python scripts. Use Ollama locally, EC2 with a GPU, or any OpenAI-compatible API.
Compare Outputs
Each lab shows pre-recorded outputs from real runs. Run the same experiment yourself and compare — that's where the learning happens.
Labs
Prompt Engineering Lab
7 experiments covering zero-shot vs few-shot, temperature effects, chain-of-thought, structured output, system prompts, self-critique, and prompt injection. Complete Python code + Ollama/API setup.
Live RAG Lab
Build a complete RAG pipeline from scratch — document loading, chunking, embedding, vector search, re-ranking, and generation with citations.
Coming Soon Agent Lab
Function calling, tool use, ReAct reasoning loops, multi-step agents with web search, file system, and calculator tools.
Coming Soon AI Dev Journal
Building real applications with Copilot coding agent — the actual prompts, iterations, failures, and lessons learned along the way.
Coming Soon