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 out of 5 Rating (127 students) Created by Nikhil Agarwal Updated: February 12, 2026 🌐 English

Key Takeaways

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Course Title: Agentic AI Full‑Stack Masterclass: RAG, MCP & AI Agents

Provider: Udemy (Listed via CoursesWyn)

Instructor: Nikhil Agarwal

Coupon Verified On: February 12, 2026

Difficulty Level: All Levels

Category: Development

Subcategory: AI Agents & Agentic AI

Duration: 13h of on-demand video

Language: English

Access: Lifetime access to all course lectures and updates

Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements

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. · 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.

Price: $9.99 with coupon / Regular Udemy price: $119.99. Applying this coupon saves you $110.00 (92% OFF).

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What You'll Learn

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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.

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Requirements

Please review the following prerequisites to ensure you have the necessary tools and foundational knowledge for this training.

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 Course

Comprehensive curriculum analysis and educational value proposition from the official provider library hubs.

Stop building basic chatbots. It is time to build Enterprise-Grade AI Agents.

Welcome to the Agentic AI Engineering program for Angular Developers.

Most AI tutorials focus on Python or React. But the enterprise world runs on Angular. In this course, we bridge the gap. We will architect a Full-Stack Agentic System from scratch using Angular (Latest) and Node.js, integrating cutting-edge protocols like MCP (Model Context Protocol) and Deterministic RAG pipelines.

Why Angular for AI? Agentic AI requires handling massive streams of data—token streaming, tool outputs, and real-time state changes. Angular’s Signals and RxJS architecture make it the superior choice for building complex, stable AI Dashboards.

What you will build: We will engineer a professional AI platform. You won't just learn syntax; you will learn the Clean Architecture patterns required to deploy autonomous systems in a corporate environment.

Key Technical Deep Dives:
  • 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.

The Tech Stack:
  • 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)

If you are ready to stop building "toy apps" and start building scalable, intelligent systems, enroll now.

Meet Your Instructor

Academic background and professional track record of the subject matter expert responsible for this curriculum.

N

Nikhil Agarwal

Verified Architect

A global leader with specialized excellence in Development. Instructors are vetted for curriculum quality, responsiveness, and consistent student success across the Udemy platform.

4.8 / 5.0
Instructor Rating
94% +
Success Rate

Course Comparison

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Feature Benchmarks This Verified Offer Global Standard
Cost Verification FREE (100% Validated) Fixed Subscription Fee
Enrollment Type Professional Lifetime Access Limited Time Ownership
Certification Award Included with Access Code Required Add-on Fee

Expert Review

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Andrew Derek
Lead Course Analyst, CoursesWyn

"After auditing the curriculum depth and verifying the live access protocol, Agentic AI Full‑Stack Masterclass: RAG, MCP & AI Agents stands as an essential career asset. For a verified cost of $0, the return-on-learning ratio far exceeds commercial alternatives."

Strategic Advantages

  • Official Certificate: Credential generated at no cost.

  • Mobile Friendly: Full access via smart TV & mobile.

  • Expert Pacing: Modular design for professional schedules.

Considerations

  • Technical Depth: Requires focused 10+ hours study.

  • Tool Prep: Certain labs require proprietary software setups.

Verification Outcome: Exceptional Academic Value

Course Rating

Collective learner data and performance analytics based on verified alumni feedback loops and technical graduation audits.

4.7
★★★★★
Verified Excellence
5 Stars
88%
4 Stars
7%
3 Stars
3%
2 Stars
1%
1 Stars
1%

Frequently Asked Questions

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Andrew Derek

Andrew Derek

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Andrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.

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