Programme Content
1. Introduction to Natural Language Processing
Foundations, current landscape, and business relevance of NLP and language models
2. Types of NLP tasks
OCR
Text Completion
Language Translation
3. Architectures of Language Models
Attention and Transformers
Working of GPT
4. Tools & Frameworks for Agents
Practical workshops with LangChain, LangGraph, LangSmith, CrewAI, AutoGen, N8N, and SDK integration.
5. Multi-Agent Systems
Principles of orchestration, agent communication protocols, handling collaboration, and trust architectures.
6. Building & Deploying End-to-End Solutions
HBR Case
Real life example of Langchain MA system.
7. Monitoring, Evaluation & Optimization
Using LangSmith, LangFuse; techniques for prompt auditing, performance monitoring, debugging, and safety guardrails.
8. Capstone Project and discussion.
