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)
Updated on May, 2026
Language - English
Programming,Data Science,Generative AI
Lectures -85
Duration -7 hours
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Course Description
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, Lang Chain, 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 Chat GPT — 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
- 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
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
Goals
- 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
Prerequisites
- Basic knowledge of computers and using software
- A laptop/PC with internet access (Windows/Mac)
- Willingness to learn and build hands-on AI projects
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
4 Lectures
-
Introduction
04:28
04:28
-
Getting Started on Windows, MacOS, and Linux
01:24
01:24
-
How to ask great questions
01:40
01:40
-
FAQ’s
01:30
01:30
Introduction to agentic AI fundamentals
5 Lectures
Generative AI basic concepts for everyone
4 Lectures
Setting up and exploring the power of chatGPT
3 Lectures
Environment setup for local development (hands-on)
6 Lectures
Python basics for AI (quick start)
4 Lectures
Generative AI for prompt engineering-automation
6 Lectures
Agentic AI- understanding LLMs (core engine)
5 Lectures
Fundamentals of AI agents
5 Lectures
Understanding RAG - retrieval augmented generation (architecture)
5 Lectures
Langchain for agent development (framework)
3 Lectures
Basic first RAG AI assistant (local, NO API) (PROJECT 1 - Part1)
11 Lectures
Building RAG pipeline (PROJECT 1 - Part2)
7 Lectures
Using a RAG AI assistant with custom data updates
3 Lectures
AI document assistant - working multiple data sources (PROJECT 2)
5 Lectures
Advanced: creating RAG - Agentic AI | multi agent - chatGPT -style (PROJECT 3)
6 Lectures
Practical AI prompts for real-world projects
3 Lectures
Instructor Details
Metla sudha sekhar
Metla Sudha Sekhar is a passionate educator, technologist, and mentor with years of experience in teaching programming, artificial intelligence, and digital transformation skills. Known for his practical and easy-to-understand teaching style, he has helped thousands of learners — from beginners to professionals — build strong foundations in technology and enhance their career opportunities.
With expertise in Generative AI, Python, Java, Microsoft Office tools, and Digital Marketing, Sudha Sekhar focuses on delivering hands-on, real-world learning experiences rather than just theory. His courses are structured step-by-step, making even complex topics simple and approachable.
He strongly believes in “learning by doing” and designs courses with projects, exercises, and lifetime access so students can learn at their own pace.
Whether you’re a student, job seeker, or working professional looking to upgrade your skills, Sudha Sekhar’s courses empower you to stay ahead in today’s fast-changing digital world.
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