Generative and Agentic AI

Module No-01: Introduction

Induction:

Session Title : Induction

Key Topics

1. Course Orientation
2. Tooling Setup

Module No-02: Foundations of Agentic AI & Generative Intelligence

Session Title : AI & Gen AI Primer

Key Topics

1. Classical ML vs DL vs Gen AI
2. Transformer Timeline
3. Diffusion vs autoregressive
4. Open vs Closed Licences
5. HF Model Hub
6. Local Mistral demo

Session Title : What Makes an Agent?

Key Topics

1. Agent components & types
2. Planning graphs
3. Reflex mood‑bot

Session Title : LLM Anatomy

Key Topics

1. Tokenisation
2. Self‑attention
3. Full vs PEFT fine‑tune preview
4. RLHF & DPO

Session Title : Agent Architectures in Practice

Key Topics

1. LangChain vs CrewAI vs AutoGen vs LangGraph
2. Memory back-ends
3. Tool abstraction
4. Trade-offs

Module No-03: Prompt Engineering & Autonomous Reasoning

Session Title : Prompt Essentials

Key Topics

1. Zero/Few-shot
2. Sampling params
3. System messages
4. LangSmith debugging

Session Title : Structured Prompting

1. ReAct
2. Chain/Tree/Graph-of-Thought

Session Title : Self‑Reflection & Critique

1. Reflexion algorithm
2. AutoGen evaluator

Module No-04:Retrieval‑Augmented Generation & Multimodal Systems

Session Title : Vector Search 101

1. Embeddings
2. Similarity metrics
3. Cost comparison
4. FAISS build

Session Title : Vector DB Landscape

1. Weaviate vs Pinecone vs Chroma
2. Hybrid search
3. Migration