Agentic AI Full‑Stack Masterclass: RAG, MCP & AI Agents — 92% Off Coupon

Build production-grade Autonomous Agents with MCP, RAG, Gemini, OpenAI and Signals using Angular & Node.js.

4.7 127 students enrolledCreated by Nikhil AgarwalLast updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

Course Title: Agentic AI Full‑Stack Masterclass: RAG, MCP & AI Agents
Provider: Udemy (listed via CourseSpeak)
Instructor: Nikhil Agarwal
Coupon Verified On: February 12, 2026
Difficulty Level: Advanced
Category: Development
Subcategory: AI Agents & Agentic AI
Duration: 13h of on-demand video
Language: English
Access: Lifetime Access · Mobile & TV compatible
Certificate: Certificate of completion included
Top Learning Outcomes: 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.
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.
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What You'll Learn

Skills and competencies you'll gain from this Udemy course:

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.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

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.

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Nikhil Agarwal. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

Instructor: Nikhil Agarwal
Field: Development
Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the Agentic AI Full‑Stack Masterclass: RAG, MCP & AI Agents Coupon Worth It?

Agentic AI Full‑Stack Masterclass: RAG, MCP & AI Agents is a development course offered on Udemy by instructor Nikhil Agarwal, spanning 13h of on-demand content. It holds a 4.7/5 rating from over 127 enrolled students.

Through CourseSpeak, you can access this course with a 92% discount coupon. The coupon was last verified on February 12, 2026. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (4.7/5) and enrollment numbers (127 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of February 2026. For individual student reviews, visit the course page directly.

4.7
127 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

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