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Home Courses AI Agentic AI Bootcamp: Build RAG AI Agents with Generative AI

Agentic AI Bootcamp: Build RAG AI Agents with Generative AI

Updated April 23, 20261 Mins read175

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
Build a complete RAG pipeline (Retriever + Generator) step-by-step
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