
Agentic AI Full‑Stack Masterclass: RAG, MCP & AI Agents
>_ What You'll Learn
- Architect and build a complete Full-Stack Agentic AI application using Angular, Node.js, and Express.
- Implement advanced Retrieval Augmented Generation (RAG) pipelines with embeddings, vector search, and context augmentation.
- Master the Model Context Protocol (MCP) by building custom MCP Servers in Node.js to expose real-world tools to LLMs.
- Build a production-ready Chat Interface in Angular that handles streaming responses, Markdown rendering, and tool outputs.
- Set up and manage Vector Databases (ChromaDB and pgVector) to store high-dimensional embeddings for semantic search.
- Create Static RAG Systems using JSON and math-based Cosine Similarity to understand the core algorithms of retrieval.
- Implement Native Tool Calling with Gemini and OpenAI to turn natural language into executable code functions.
- Connect your RAG Engine as an MCP Tool, creating a modular system where Agents can "choose" to search your database.
>_ Requirements
- Solid understanding of JavaScript & TypeScript: You must be comfortable with Async/Await, Promises, and ES6+ syntax.
- Basic Node.js & Express: We build a backend API, so you should know how to set up a server and routes.
- Frontend Fundamentals: Experience with Angular is required. We move fast on the UI (using AI-assisted scaffolding)
- No AI Experience Needed: I will teach you RAG, Vector DBs, and MCP from the ground up.
/ Course Details & Curriculum
- The Model Context Protocol (MCP): Master the new industry standard. You will build Custom MCP Servers in Node.js to connect your AI to internal databases and expose them as tools to Gemini or OpenAI.
- Angular Signals & AI Streaming: Learn to handle high-velocity token streams and Markdown rendering without freezing the UI, using Angular's latest reactivity primitives.
- Advanced RAG Pipelines: Move beyond basics. We implement Vector Search using ChromaDB and pgVector, handling embeddings and context augmentation manually.
- Native Tool Calling: Learn how to force LLMs to output strictly structured JSON to trigger functions in your code—the backbone of Agentic Automation.
- Frontend: Angular (Latest), Signals, TailwindCSS
- Backend: Node.js, Express, TypeScript (Strict Mode)
- AI Models: Google Gemini, OpenAI (GPT Models)
- Vector Databases: ChromaDB, pgVector
- Protocols: MCP (Model Context Protocol)
Author and Instructor
Nikhil Agarwal
Expert at Udemy
With years of hands-on experience in Development, Nikhil Agarwal has dedicated thousands of hours to teaching and mentorship. This course is the culmination of industry best practices and a proven curriculum that has helped thousands of students transition into professional roles.
Community Feedback
Michael Chen
Verified Enrollment
"This Agentic AI Full‑Stack Masterclass: RAG, MCP & AI Agents course was exactly what I needed. The instructor explains complex Development concepts clearly. Highly recommended!"
Sarah Johnson
Verified Enrollment
"I've taken many Udemy courses on Development, but this one stands out. The practical examples helped me land a job."
David Smith
Verified Enrollment
"Great value for money. The section on AI Agents & Agentic AI was particularly helpful."
Emily Davis
Verified Enrollment
"Excellent structure and pacing. I went from zero to hero in Development thanks to this course. Lifetime access is a huge plus."
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