Description
Agentic AI Engineering with MERN: RAG, MCP & AI Agents is a full-stack MERN (MongoDB, Express, React, Node.js) training course with modern AI engineering techniques published by Udemy Online Academy. You will learn how to design and implement robust backend services with Node and Express, manage data with MongoDB, and create responsive and interactive frontends with React, while integrating AI capabilities that retrieve relevant knowledge, maintain structured context, and perform autonomous tasks. This course will explore how to build AI agents that can reason, plan, and act on dynamic data, communicate between components using MCP, and enhance user experiences with intelligent features such as context-aware responses and intelligent automation.
You will architect a full-stack agent application from scratch using React and Node.js, integrating advanced protocols such as MCP (Model Context Protocol) and advanced RAG pipelines. By the end, you will be able to build full-stack AI applications that combine MERN development with advanced AI engineering, and key topics including RAG systems, MCP workflows, agent architecture, data modeling, frontend integration, and real-world deployment strategies are covered, all in one integrated learning experience.
What you will learn in Agentic AI Engineering with MERN: RAG, MCP & AI Agents:
- Implement advanced retrieval augmentation (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.
- Build deterministic RAG systems using JSON and mathematically based cosine similarity to understand the underlying retrieval algorithms.
- And…
Course specifications
Publisher: Udemy
Instructors: Nikhil Agarwal
Language: English
Level: Introductory to Advanced
Number of Lessons: 89
Duration: 15 hours and 6 minutes
Course topics
Agentic AI Engineering with MERN: RAG, MCP & AI Agents Prerequisites
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.
Pictures
Agentic AI Engineering with MERN: RAG, MCP & AI Agents introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
21.7 GB
