What you'll learn

1) Set up a pro-grade AI environment with Git, Python, virtual environments, and live API integrations (OpenAI, Grok, Gemini),
2) Master Prompt Engineering – zero-shot to chain-of-thought, self-consistency, and tool-calling prompts,
3) Build Agentic AI with RAG – retrieve from documents, chunk data, and answer questions with Pinecone vector DB,
4) Implement ReAct Logic – create autonomous agents that think, act, observe, and iterate using LangChain and CrewAI,
5) Automate workflows without code – connect LLMs to live data via n8n and no-code backends,
6) Rapidly prototype & launch a full AI app (chatbot or agent dashboard) using Streamlit and Render in under an hour.

Curriculum

Git & Python, API Keys, Prompt Engineering, Zero/Few-Shot & CoT, RAG with LangChain, Pinecone Vector DB, Document Ingestion, ReAct Logic, Agent Tool-Calling, No-Code Automation, n8n + LLMs Nodes, Rapid Prototyping, Streamlit Apps, GitHub Portfolio

Descriptions

Conquer Agentic AI, No-Code Automation, and Rapid Prototyping in one power-packed weekend. From raw idea to live deployed AI agent in just 6 hours. You’ll engineer bulletproof prompts, build retrieval-augmented chatbots with RAG, orchestrate ReAct agents that reason and act autonomously, automate real business workflows without writing backend code, and ship polished prototypes using Streamlit + Render.

By Sunday 1:00 PM, you’ll walk away with a GitHub portfolio repo and a live AI app URL – proof you can deliver production-grade AI at startup speed.

Tools: Python, LangChain, Pinecone, OpenAI/Grok, Streamlit, GitHub, n8n

Prerequisites: None – we bootstrap you fast (basic Python helpful)

Next GenAI: Agentic AI, No-Code Automation and Rapid Prototyping

Timing: 10:00 AM-1:00 PM (Saturday/Sunday) December 27-28

What you'll learn

Curriculum

Descriptions

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