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    Nikhil Agarwal
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    Nikhil Agarwal's Agentic AI Full‑Stack Masterclass: RAG, MCP & AI Agents Course Review

    Community Insights

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

    Learning Format Online Course
    Subcategory AI Agents

    Course Price $39.99 (list $9.99)

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    About Nikhil Agarwal

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

    Who Is Nikhil Agarwal?

    No bio available.

    Industry

    AI

    Total Students

    233 students

    Official Website

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    Experience

    Course Language

    English

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    What Do You Learn in Nikhil Agarwal's 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.
    Implement MongoDB integration from schema design to optimized query execution within a production-grade Angular and Node.js architecture.

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