RAG-Based Chatbots with LLMs- Paid

About Course
This hands-on course teaches you how to build powerful RAG (Retrieval-Augmented Generation) systems that combine the strengths of LLMs with dynamic external knowledge. You’ll learn to extract information from custom documents, generate embeddings, integrate vector databases like FAISS and Pinecone, and deploy responsive chatbots that answer contextually. Perfect for developers aiming to build smart, memory-aware AI assistants for customer support, HR, finance, legal, and more.
📌 Prerequisites:
-
Basic understanding of Python
-
Familiarity with REST APIs
-
Basics of machine learning and NLP concepts
-
Optional: Knowledge of LangChain or vector DBs is a plus
📅 Duration: 8 Weeks | 💼 Internship: Optional
🧩 Add-ons: 📜 Certificate of Completion | 💼 Internship Certificate
💰 Price: ₹40,000
Course Content
Introduction to RAG
-
What is RAG and why it’s important
-
Limitations of base LLMs
-
Use cases (Document QA, Legal AI, HR bots)