Agentic AI Foundations with MERN, RAG & MCP

Overview

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Unlock the power of advanced AI development! The future of AI is here, and it’s time to learn how to build intelligent, scalable systems that go beyond basic models like ChatGPT and Gemini. This Agentic AI course will teach you how to develop Agentic AI systems using RAG (Retrieval Augmented Generation) and MCP (Model Context Protocol) from scratch. You’ll get hands-on experience setting up a MERN stack environment, integrating cutting-edge tools like Gemini and OpenAI, and creating AI-driven chat applications. Master frontend development using React, TypeScript, and Vite, designing sleek, responsive, and high-performance applications. You’ll also optimize your systems for real-world deployment, ensuring they are scalable and robust. What sets this course apart? You’ll go beyond theory to build real-world AI systems with skills that are in high demand across the industry. Perfect for developers, engineers, and tech enthusiasts eager to break into the AI field. Don’t just learn AI—become a creator of intelligent systems. Enroll today and start building the future of AI!

Syllabus

Agentic AI Foundations

Explore the limitations of standard AI models and understand RAG and MCP concepts, their architecture, and real-world applications. Learn how these foundations power agentic AI systems and prepare you for hands-on development.

Development Environment and Core Setup

Set up your Node.js, React, and development environment, integrate API keys, and understand RAG architecture and embeddings. Build a React application foundation and prepare for AI-assisted frontend development.

Creating a Scalable React Chat Frontend

Design and implement a mobile-responsive React chat interface with reusable components, state management, and dark mode. Prepare the frontend for API calls, environment variables, and optimized error handling for real-world applications.