Section outline

• Select section Day 1: Generative AI Foundations

  Day 1: Generative AI Foundations

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  • Session 1: Understanding Generative AI and ChatGPT (4 Hours)
    • Introduction to Generative AI and LLMs.
    • Practical tasks with OpenAI API.
    • Lab: Use OpenAI API to perform tasks.
  • Session 2: Prompt Engineering (4 Hours)
    • Prompting techniques: zero, one, few-shot, and chain-of-thought.
    • Strategies: ReAct, self-feedback, and critique.
    • Lab: Apply advanced prompt engineering techniques.
• Select section Day 2: LangChain and Embeddings

  Day 2: LangChain and Embeddings

  • Session 3: Using LangChain (4 Hours)
    • AI app workflows and LangChain basics.
    • Memory types and implementation.
    • Lab: Create and use chains with LangChain.
  • Session 4: Embeddings, Vector Stores, and RAG (4 Hours)
    • Embedding flow and vector stores (ChromaDB and Pinecone).
    • Lab: Build a retriever chain with RAG.
• Select section Day 3: Tools, Agents, and Observability

  Day 3: Tools, Agents, and Observability

  Session 5: Tools & AI Agents (5 Hours)

  Configuring AI tools & defining functions
  Understanding ChatGPT functions & web search tools
  Implementing AI agents & memory scratch pads
  Error handling, tracing & observability with LangSmith & LangGraph
  Lab: Building an AI app with tools and agents