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Udemy – Agentic AI Full‑Stack Masterclass: RAG, MCP & AI Agents 2025-11

Updated August 10, 2026 16 GB
Udemy – Agentic AI Full‑Stack Masterclass: RAG, MCP & AI Agents 2025-11

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Description

Agentic AI Full-Stack Masterclass: RAG, MCP & AI Agents is a course on how to build intelligent, autonomous AI systems from start to finish published by Udemy Online Academy. This is a comprehensive course designed to teach you how to build intelligent, autonomous AI systems from start to finish. The course focuses on modern agentic architectures in which large language models reason, plan, and act using tools, memory, and external data. You will learn how Retrieval-Augmented Generation (RAG) enables AI systems to work with private and dynamic knowledge, how the Model Context Protocol (MCP) standardizes access to tools and data, and how AI agents collaborate to solve complex tasks.

This comprehensive class bridges theory and real-world implementation through hands-on, full-length examples, making it ideal for developers, AI engineers, and technical leaders looking to deploy production-ready agentic solutions. Most developers are stuck building “chat-with-PDF” apps. In this course, we go deeper. You’ll architect an agent-oriented app from scratch using Angular and Node.js, integrating advanced protocols like MCP (Model Context Protocol) and advanced RAG pipelines.

What you will learn in Agentic AI Full‑Stack Masterclass: RAG, MCP & AI Agents:

  • 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.
  • Build static RAG systems using JSON and mathematically based cosine similarity to understand core retrieval algorithms.
  • Implement native tool calls with Gemini and OpenAI to transform natural language into executable code functions.
  • And…

Course specifications

Publisher: Udemy
Instructors: Nikhil Agarwal
Language: English
Level: Introductory to Advanced
Number of Lessons: 70
Duration: 11 hours and 28 minutes

Course topics on 2025/12

Agentic AI Full‑Stack Masterclass RAG, MCP & AI Agents Contrent

Agentic AI Full‑Stack Masterclass: 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 Angular is required. We move fast on the UI (70% is made with Vibe Coding).
No AI Experience Needed: I will teach you RAG, Vector DBs, and MCP from the ground up.

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Agentic AI Full‑Stack Masterclass RAG, MCP & AI Agents

Agentic AI Full‑Stack Masterclass: RAG, MCP & AI Agents introduction video

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Quality: 1080p

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Download Part 1 – 4 GB

Download Part 2 – 4 GB

Download Part 3 – 4 GB

Download Part 4 – 4 GB

Download Part 5 – 53 MB

Rapidgator link

Download Part 1 – 4 GB

Download Part 2 – 4 GB

Download Part 3 – 4 GB

Download Part 4 – 4 GB

Download Part 5 – 53 MB

File password (s): www.downloadly.ir

Size

16 GB