zen-tech-training/L3_JUly_2026_Batch_Anand_k ? reverse-engineered prompt

Build me a hands on notebook style project that teaches agentic AI step by step, starting from a simple LLM call and then adding tools, memory, and more advanced agent patterns.

I want it to include examples for single and multiple tools, short term and long term memory, LangGraph basics, human in the loop flow, parallel nodes, subgraphs, and a simple RAG example with document embeddings and multi query retrieval. Also include a few small MCP client and server examples, both local and HTTP, plus a Tavily based client example if needed.

Keep it beginner friendly, like a training kit I can run through in order. Each notebook should be clear, work on its own, and show what the code is doing in plain English. If you need to check current docs for any libraries, feel free to look them up online.