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DTA-21AvailableAI & Agentic AIMCPJSON-RPCOAuthPythonTypeScript

MCP Engineering Deep Dive

Build the protocol layer that gives AI safe access to tools, data and systems

Fee
₹4,500
Duration
30 guided hours
Mode
Online / Offline
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Designed for

  • Backend and platform developers building tool-connected AI
  • Developers who have configured MCP servers and want to build them
  • Python or TypeScript comfort recommended; HTTP and JSON assumed
New · Deesha AI

The AI line is open.

Course curriculum

8 progressive modules

Duration: 30 guided hours

  1. Foundation
  2. Intermediate
  3. Advanced

  1. FoundationSessions 1–2

    Why MCP exists, and the protocol mental model

    • The N-times-M integration problem MCP collapses
    • Host, client and server architecture
    • Lifecycle and capability negotiation

    What you will build

    A raw MCP handshake read message by message — after this, nothing in the protocol is folklore.

    Module 1

Batches

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Who teaches this

Learn with experienced practitioners

All trainers and mentors

Each batch is assigned its own trainer from this group, named before you enrol.

  • Vishal Shah

    Vishal Shah

    Founder & Principal Trainer

    Two decades building and teaching commerce, banking and cloud platforms — still writing code

    • Java & Spring Boot microservices
    • TypeScript, React, Angular & Next.js
    • Composable commerce (commercetools)
    Full profile →
  • Shrenik Shah

    Shrenik Shah

    Principal Trainer

    Cloud and AI architect who has upskilled over 5,000 engineers in Java, React, Python and cloud

    • Python — Django, Flask, GenAI & agentic workflows
    • Java & Spring Boot
    • React & Angular, micro-frontend architecture
    Full profile →

Detailed course information

Full course brief

Everyone configures MCP servers; very few people can build one properly. This deep dive is for the second group: the protocol from the wire up, servers and clients built from scratch, security treated as the point rather than the appendix, and a capstone another team could actually depend on.

Who this is for

Backend or platform developers. Python or TypeScript recommended — the protocol is the subject, the language is just the vehicle.

Where it leads

The tooling backbone of the AI Application Engineer pathway, and the natural deep dive once tool calling has hooked you in the Agent Builder Lab.

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