Agentic AI Bootcamp: Build RAG AI Agents with Generative AI

Master Agentic AI, RAG, LangChain, FAISS & Local LLMs to Build Real-World AI Assistants (No API)

• Build real-world RAG (Retrieval-Augmented Generation) AI applications from scratch
• Understand how Agentic AI systems work and how to design them
• Use Local LLMs (LLaMA via Ollama) — no API cost required
• Create intelligent AI assistants that can read, understand, and answer from documents
• Work with LangChain, FAISS, and embeddings for building scalable AI systems
• Load and process PDF, TXT, and custom data sources for AI applications
• Design and implement vector databases for efficient information retrieval
• Develop ChatGPT-like web apps using Streamlit
• Create multi-tool Agentic AI systems with reasoning capabilities
• Implement prompt engineering techniques for better AI responses
• Learn how to structure production-ready AI projects
• Build industry use cases like Resume Analyzer, Chatbot, Research Assistant
• Debug and optimize AI systems for better performance and accuracy
• Deploy and run AI applications locally for real-world usage
• Gain practical skills to start a career in Generative AI & AI Engineering
• Build a strong portfolio with real-world AI projects
• Build a complete RAG pipeline (Retriever + Generator) step-by-step