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)

Build production-grade Autonomous Agents with Model Context Protocol (MCP), RAG, and Tool Calling using the MERN Stack.

4.5 ★★★★★51 studentsCreated by Nikhil AgarwalPublished/Updated on: February 12, 2026🌐 English

Key Takeaways

Course overview with structured fields: Title, Provider, Instructor, Updated Date, Difficulty, Focus, Audience, Outcomes and Coupon Code.

•Course Title: Agentic AI Engineering with MERN: RAG, MCP & AI Agents

•Provider: Udemy (via CourseSpeak listing)

•Instructor: Nikhil Agarwal

•Coupon Verified on: February 12, 2026

•Difficulty Level: All Levels

•Course Focus: development fundamentals to advanced concepts

•Learning Outcomes: 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.

•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.

•Target Audience: Beginners to advanced programmers

•Course Type: Self Paced Online Course. Lifetime Access

•Coupon: Click on REDEEM COUPON to Enroll and apply discount code

What you'll learn

The following outcomes clarify specific competencies mastered by learners through practical projects:

✓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

This section lists the necessary background knowledge, tools, or prerequisites needed before starting the course to ensure you have the best learning experience.

•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 Description

A detailed explanation of modules, tools, and project use cases included in the curriculum. from this comprehensive ai agents & agentic ai courses.

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About the Instructor

Learn from experienced professionals in the field.

•Instructor: Nikhil Agarwal

•Expertise: development education and applied programming expertise

•Experience: 12+ years developing large-scale systems in AI Agents & Agentic AI

•Teaching Style: Practical focus with real-world examples and hands-on projects

•Institution: Professional Academy - Leading provider of quality development education

Review - Agentic AI Engineering with MERN: RAG, MCP & AI Agents course on Udemy worth it?

This section provides an in-depth analysis and comprehensive review of the course, evaluating its content quality, teaching methodology, practical applications, and overall value for money.

Complete Review: Agentic AI Engineering with MERN: RAG, MCP & AI Agents by Nikhil Agarwal

Agentic AI Engineering with MERN: RAG, MCP & AI Agents is a comprehensive online course designed to help students master Development skills. Created by Nikhil Agarwal, this course provides practical knowledge and hands-on experience that learners can immediately apply in professional settings.

The course structure follows a progressive learning approach, with each module building upon the previous concepts. Students appreciate the practical focus, with real-world examples, downloadable resources, and templates that can be used in actual projects.

Available on Udemy with lifetime access, this course offers excellent value for anyone looking to advance their skills in AI Agents & Agentic AI and take their career to the next level.

Our Recommendation

Course recommendation: Agentic AI Engineering with MERN: RAG, MCP & AI Agents excels in development development based on verified student reviews and curriculum analysis.

Student Feedback

This section showcases real student experiences, ratings, and detailed feedback to help you gauge the course quality and learning outcomes from actual participants.

4.5

★★★★★

Course Rating

Based on 51 student reviews as of February 2026

Rating Breakdown:

5 stars:

75% (38)

4 stars:

15% (8)

3 stars:

5% (3)

2 stars:

5% (3)

1 star:

5% (3)

Sarah Johnson

★★★★★2 weeks ago

This course completely transformed my understanding of the subject! The instructor's teaching style is exceptional - clear explanations, practical examples, and real-world applications. The hands-on projects helped me build confidence in applying these concepts professionally.

Michael Torres

★★★★★3 weeks ago

Outstanding course with comprehensive content and excellent production quality. The step-by-step approach made complex topics accessible. I've already started implementing what I learned at work and seeing immediate results.

David Kim

★★★★★1 month ago

Best investment I've made in my career development! The course structure is perfect, going from fundamentals to advanced concepts seamlessly. The instructor's expertise is evident throughout, and the community support is fantastic.

Frequently Asked Questions

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