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

Topics: AI

Source: https://www.udemy.com/course/agentic-ai-bootcamp-build-rag-ai-agents-with-generative-ai/?couponCode=KEEPLEARNING