Generative AI Master Program

Generative AI Master Program

A flagship mentor-led journey covering advanced prompting, orchestration, retrieval pipelines, safety patterns, and deployment strategy for real-world GenAI products.

What you'll learn, module by module

Updated June 2026

1. 1

   Module 1: 2026 LLM Landscape - GPT-5.x, Claude Opus/Sonnet 4.x, Gemini 3, open-weight models

2. 2

   Module 2: Advanced Prompt Architecture - chain-of-thought, structured outputs, function calling

3. 3

   Module 3: Retrieval-Augmented Generation (RAG) - chunking, embeddings, vector databases

4. 4

   Module 4: Orchestration with LangChain and LangGraph

5. 5

   Module 5: LLM Evaluation - hallucination detection, golden datasets, automated grading

6. 6

   Module 6: Safety Patterns - guardrails, content filtering, prompt-injection defense

7. 7

   Module 7: Production Deployment - FastAPI services, cost optimization, observability/tracing

8. 8

   Module 8: Capstone - build and deploy a production-grade GenAI copilot