Tutorials > Agentic Ai Bootcamp: Build Rag Ai Agents With Generative Ai
Agentic Ai Bootcamp: Build Rag Ai Agents With Generative AiDate: 18 April 2026 | Posted by: 0nelove |
![]() Agentic Ai Bootcamp: Build Rag Ai Agents With Generative Ai Published 4/2026 Created by Metla Sudha Sekhar MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Expert | Genre: eLearning | Language: English | Duration: 85 Lectures ( 7h 22m ) | Size: 3.82 GB Master Agentic AI, RAG, LangChain, FAISS & Local LLMs to Build Real-World AI Assistants (No API) What you'll learn ✓ 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 Requirements ● Basic knowledge of computers and using software ● A laptop/PC with internet access (Windows/Mac) ● Willingness to learn and build hands-on AI projects Description Are you ready to build real-world AI applications without relying on expensive APIs? Welcome to the Agentic AI Bootcamp, where you'll learn how to design and develop powerful AI assistants using RAG (Retrieval-Augmented Generation), Local LLMs, LangChain, and FAISS — all from scratch. This course is designed for beginners, developers, and professionals who want to move beyond theory and start building practical, industry-ready AI solutions. Instead of just learning concepts, you'll work on hands-on projects that simulate real business use cases in this Agentic AI Bootcamp: Build RAG AI Agents with Generative AI You'll discover how to create intelligent AI systems that can read documents, understand context, retrieve knowledge, and respond like ChatGPT — but running locally with zero API cost. By the end of this course, you will confidently build * AI-powered document assistants (PDF & TXT) * ChatGPT-style web apps using Streamlit * Agentic AI systems with multiple tools * Real-world RAG-based AI applications No prior AI experience is required — we guide you step-by-step using simple explanations and practical coding sessions. This course is perfect if you want to * Start a career in Generative AI & AI Engineering * Build your own AI tools or startup ideas * Add high-value AI projects to your portfolio * Work on real-world applications instead of just theory The future belongs to those who can build AI, not just use it. Enroll now and start your journey into Agentic AI and real-world AI development Who this course is for ■ Beginners who want to start learning Generative AI and Agentic AI from scratch ■ Students looking to build real-world AI projects and improve their portfolio ■ Python learners who want to apply their skills in AI development ■ Developers interested in RAG, LLMs, and AI automation systems ■ Professionals who want to upgrade their skills in AI and emerging technologies ■ Freelancers aiming to build and offer AI-based solutions to clients ■ Entrepreneurs who want to create AI-powered tools or startups ■ Anyone curious about how to build ChatGPT-like AI assistants locally https://nitroflare.com/view/91BA2135361733A/Agentic_AI_Bootcamp_Build_RAG_AI_Agents_with_Generative_AI.part1.rar
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