Agentic AI Engineering with MERN: RAG, MCP & AI Agents

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DevelopmentAI Agents & Agentic AI

Agentic AI Engineering with MERN: RAG, MCP & AI Agents

Name: Agentic AI Engineering with MERN: RAG, MCP & AI Agents
Price: 9.99 USD
Availability: InStock
Rating: 4.5 (51 reviews)

★4.5

(51 students)

15h

>_ What You'll Learn

Architect and build a complete Full-Stack (MERN) Agentic AI application using React, 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 React 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 Deterministic 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 React 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

Stop building basic chatbots. It is time to build intelligent AI Agents that can actually do things.

Welcome to the Agentic AI Engineering program, the only course you need to bridge the gap between simple LLM wrappers and complex, production-ready Agentic Systems.

Most developers are stuck building "chat with PDF" apps. In this course, we go levels deeper. You will architect a Full-Stack Agentic Application from scratch using React and Node.js, integrating cutting-edge protocols like MCP (Model Context Protocol) and advanced RAG pipelines.

Why this course? The industry is shifting from "Generative AI" to "Agentic AI." Companies don't just want text; they want Agents that can query databases, execute tools, and perform actions. This course puts you ahead of that curve.

What you will build: We will engineer a professional-grade AI platform with a modern React UI and a robust Node.js/Express backend. You won't just learn syntax; you will learn the architecture behind autonomous systems.

Key Technical Deep Dives:

The Model Context Protocol (MCP): Be one of the first to master this standard. You will build Custom MCP Servers in Node.js to connect your AI to real-world data (like Weather APIs) and expose them as tools to Claude, Gemini, or OpenAI.
Advanced RAG Pipelines: Move beyond basics. We implement Vector Search using ChromaDB and pgVector, handling embeddings, chunking, and ingestion manually to give you total control.
Native Tool Calling: Learn how to make LLMs (Gemini & OpenAI) strictly structured JSON to trigger functions in your code—the backbone of Agentic AI.
Math & Theory: We don't just import libraries. We cover the logic behind Cosine Similarity, Vector spaces, and Retrieval scoring so you understand why your retrieval works.

The Tech Stack:

Frontend: React (Latest), TailwindCSS, Vite
Backend: Node.js, Express, TypeScript
AI Models: Google Gemini, OpenAI GPT Models
Vector Databases: ChromaDB, pgVector (PostgreSQL)
Protocols: MCP (Model Context Protocol)

If you are ready to stop playing with toys and start building intelligent, agentic systems, enroll now. Let’s write some code.

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 Engineering with MERN: 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."

Common Questions

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