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Agentic AI Bootcamp: Build RAG AI Agents with Generative AI
Highest Rated
New
42 students
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
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Coding Exercises
This course includes our updated coding exercises so you can practice your skills as you learn.
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Course content
19 sections • 87 lectures • 7h 22m total length
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