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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

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

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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, and 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

Deliberately beyond the AI Application Engineer pathway, whose MCP Tooling Lab covers what an application engineer needs. This deep dive is for the engineer who must build and operate MCP services, the natural next step once tool calling has hooked you in the Agent Builder Lab.

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