This hands-on bootcamp is designed to take you from a complete beginner to someone who can confidently build real-world AI applications using Agentic AI and Retrieval-Augmented Generation (RAG). Instead of focusing on theory alone, this course emphasizes practical implementation, enabling you to create intelligent systems that can read, understand, retrieve, and generate human-like responses from data.
You will learn how modern AI assistants work under the hood and how to build your own using LangChain, FAISS, embeddings, and Local LLMs like LLaMA via Ollama—all without relying on expensive APIs. This means you can run powerful AI systems locally on your machine, giving you full control, lower costs, and real-world deployment flexibility.
Throughout the course, you will build multiple industry-relevant projects, including document-based AI assistants, ChatGPT-style web apps using Streamlit, and multi-tool agent systems capable of reasoning and decision-making. You will also learn how to structure scalable AI pipelines, optimize prompts, debug outputs, and improve system accuracy—skills that are critical for real AI engineering roles.
By the end of this bootcamp, you will not only understand how Agentic AI systems are designed, but also have a strong portfolio of working applications that demonstrate your ability to build and deploy intelligent solutions. Whether your goal is to start a career in Generative AI, build AI-powered products, freelance, or launch your own startup, this course equips you with the practical skills needed to move from learning AI to actually building with it.