Agentic AI & Automation
RAG – Retrieval Augmented Generation with LLMs
Build RAG pipelines to answer questions from your own documents using vector databases and LLMs.
★★★★★
4.90 (243 reviews)
678 students
42 hours
Intermediate
About This Course
End-to-end RAG course: document ingestion (PDF, DOCX, web), text chunking strategies, embedding models, vector stores (ChromaDB, Pinecone, Weaviate), similarity search, re-ranking, advanced RAG (HyDE, parent-child chunks, hybrid search), building a knowledge base chatbot, and evaluation with RAGAs.
What You'll Learn
- Build production-ready AI agents
- Automate real business workflows
- Use cutting-edge AI frameworks
- Deploy and monetize AI automation
Instructor
S
Saurav Kumar
Expert in Computer Science with 10+ years of teaching experience
₹3,499
₹7,999
56% OFF
678 students enrolled
42 hours content
English
Certificate of completion