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

Author: KYZ

Topics: AI

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