Agentic AI Foundations: Build RAG & MCP Chatbots

Overview

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The next wave of AI isn’t about better prompts—it’s about building systems that think, retrieve, and act on their own. Most AI applications today stop at generating responses. But real-world systems need more they must access the right data, make decisions, and execute tasks seamlessly. This course is your gateway into Agentic AI, where RAG and MCP come together to create truly intelligent applications. You’ll build a full-stack AI system from the ground up designing retrieval pipelines, implementing embeddings and ranking, and enabling tool-driven workflows. Develop a modern Angular chat interface, power it with a Node.js backend, and integrate leading models like OpenAI and Gemini to create dynamic, context-aware experiences. This Agentic AI course is not about theory or isolated demos you’ll engineer a complete, production-ready AI chatbot that mirrors real industry use cases. Built for developers ready to move beyond experimentation and create meaningful AI solutions. Do not just deploy AI create systems that think, adapt, and deliver. Enroll now and start your journey into the future of AI engineering.

Syllabus

Agentic AI Fundamentals

Learn why traditional AI models fall short and explore RAG, MCP, and agentic AI systems. Understand architectures, workflows, and the foundation of real-world AI agents.

Environment Setup & RAG Foundations

Set up your Node.js, Angular, and AI API environment, and understand RAG, embeddings, and retrieval workflows. Build the foundation for your chat application UI.