Workshop Series
Enterprise AI Automation Integration
Learn how to build secure, scalable AI workflows using LangChain, vector databases, and enterprise data.
Enroll Now₹14,999
What You'll Learn
- Design RAG (Retrieval-Augmented Generation) systems
- Implement LangChain and advanced prompt engineering
- Deploy vector databases (Pinecone/Milvus) for semantic search
- Secure AI endpoints for enterprise compliance
Prerequisites
Strong proficiency in Python. Understanding of backend architecture and APIs.
Curriculum / Syllabus
Week 1-2
LLM Fundamentals & Prompt Engineering
Deep dive into model capabilities, temperature, and few-shot prompting.
Week 3-4
LangChain & Agents
Building complex chains, memory management, and autonomous agents.
Week 5-6
Vector Embeddings & Databases
Understanding semantic search and integrating Pinecone.
Week 7-8
RAG Architecture
Building robust Retrieval-Augmented Generation systems with enterprise data.
Week 9
Security & Evaluation
Preventing prompt injection, handling PII, and model evaluation metrics.
Week 10
Production Deployment
Scaling AI endpoints and monitoring in production environments.