| File Name: | Agentic AI Full‑Stack Masterclass: RAG, MCP & AI Agents |
| Content Source: | https://www.udemy.com/course/agentic-ai-fullstack-masterclass-rag-mcp-ai-agents/ |
| Genre / Category: | Ai Courses |
| File Size : | 16.2 GB |
| Publisher: | Nikhil Agarwal |
| Updated and Published: | December 19, 2025 |
Stop building basic chatbots. It is time to build intelligent AI Agents that can actually do things. Welcome to the Agentic AI Full-Stack Masterclass, the only course you need to bridge the gap between simple LLM wrappers and complex, production-ready Agentic Systems. Most developers are stuck building “chat with PDF” apps. In this course, we go levels deeper. You will architect a Full-Stack Agentic Application from scratch using Angular and Node.js, integrating cutting-edge protocols like MCP (Model Context Protocol) and advanced RAG pipelines.
Why this course? The industry is shifting from “Generative AI” to “Agentic AI.” Companies don’t just want text; they want Agents that can query databases, execute tools, and perform actions. This course puts you ahead of that curve.
What you will build: We will build a professional-grade AI platform with a modern Angular UI and a robust Node.js/Express backend. You won’t just learn syntax; you will learn the architecture behind autonomous systems.
Key Technical Deep Dives:
- The Model Context Protocol (MCP): Be one of the first to master this standard. You will build Custom MCP Servers in Node.js to connect your AI to real-world data (like Weather APIs) and expose them as tools to Claude, Gemini, or OpenAI.
- Advanced RAG Pipelines: Move beyond basics. We implement Vector Search using ChromaDB and pgVector, handling embeddings, chunking, and ingestion manually to give you total control.
- Native Tool Calling: Learn how to make LLMs (Gemini & OpenAI) strictly structured JSON to trigger functions in your code—the backbone of Agentic AI.
- Math & Theory: We don’t just import libraries. We cover the logic behind Cosine Similarity, Vector spaces, and Retrieval scoring so you understand why your retrieval works.
The Tech Stack:
- Frontend: Angular (Latest), TailwindCSS
- Backend: Node.js, Express
- AI Models: Google Gemini, OpenAI (ChatGPT Versions)
- Vector Databases: ChromaDB, pgVector (PostgreSQL)
- Protocols: MCP (Model Context Protocol)
If you are ready to stop playing with toys and start building intelligent, agentic systems, enroll now. Let’s write some code.
DOWNLOAD LINK: Agentic AI Full‑Stack Masterclass: RAG, MCP & AI Agents
Agentic_AI_Full_Stack_Masterclass_RAG_MCP_AI_Agents.part01.rar – 1000.0 MB
Agentic_AI_Full_Stack_Masterclass_RAG_MCP_AI_Agents.part02.rar – 1000.0 MB
Agentic_AI_Full_Stack_Masterclass_RAG_MCP_AI_Agents.part03.rar – 1000.0 MB
Agentic_AI_Full_Stack_Masterclass_RAG_MCP_AI_Agents.part04.rar – 1000.0 MB
Agentic_AI_Full_Stack_Masterclass_RAG_MCP_AI_Agents.part05.rar – 1000.0 MB
Agentic_AI_Full_Stack_Masterclass_RAG_MCP_AI_Agents.part06.rar – 1000.0 MB
Agentic_AI_Full_Stack_Masterclass_RAG_MCP_AI_Agents.part07.rar – 1000.0 MB
Agentic_AI_Full_Stack_Masterclass_RAG_MCP_AI_Agents.part08.rar – 1000.0 MB
Agentic_AI_Full_Stack_Masterclass_RAG_MCP_AI_Agents.part09.rar – 1000.0 MB
Agentic_AI_Full_Stack_Masterclass_RAG_MCP_AI_Agents.part10.rar – 1000.0 MB
Agentic_AI_Full_Stack_Masterclass_RAG_MCP_AI_Agents.part11.rar – 1000.0 MB
Agentic_AI_Full_Stack_Masterclass_RAG_MCP_AI_Agents.part12.rar – 1000.0 MB
Agentic_AI_Full_Stack_Masterclass_RAG_MCP_AI_Agents.part13.rar – 1000.0 MB
Agentic_AI_Full_Stack_Masterclass_RAG_MCP_AI_Agents.part14.rar – 1000.0 MB
Agentic_AI_Full_Stack_Masterclass_RAG_MCP_AI_Agents.part15.rar – 1000.0 MB
Agentic_AI_Full_Stack_Masterclass_RAG_MCP_AI_Agents.part16.rar – 1000.0 MB
Agentic_AI_Full_Stack_Masterclass_RAG_MCP_AI_Agents.part17.rar – 200.6 MB
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