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DTA-20AvailableAI & Agentic AIClaude CodeAgentic workflowsMCPGitCI/CD

Claude Code Deep Dive

Turn an AI coding assistant into a disciplined, team-ready engineering workflow

Fee
₹4,500
Duration
30 guided hours
Mode
Online / Offline
Ask about this course

Designed for

  • Working developers comfortable with a terminal and Git
  • Teams adopting AI-assisted development and wanting discipline, not chaos
  • Tech leads defining how AI coding should work in their organisation
New · Deesha AI

The AI line is open.

Course curriculum

9 progressive modules

Duration: 30 guided hours

  1. Foundation
  2. Intermediate
  3. Advanced

  1. FoundationSessions 1–2

    The mental model — what the tool loop actually does

    • Setup, the CLI mental model and interactive vs non-interactive use
    • The tool loop — how an agentic assistant reads, edits and runs
    • Where it is strong, where it is dangerous, and how to tell

    What you will build

    A real bug fixed end to end with the assistant, with every tool call read and explained — no magic left in the loop.

    Module 1

Batches

Choose a schedule that works for you

Registration open

August 2026 weekday evening batch

Mon, 24 Aug, 2026, 7:00 pm

Schedule
Mon–Fri, 7:00–9:00 PM IST
Delivery
Online
Trainer
Vishal Shah
Fee
₹4,500
Capacity
16 participants
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None of these fit?

Tell us the schedule that would work

We plan batches around demand. Weekend, morning and intensive formats open when enough people ask for them.

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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

AI-assisted coding is either a discipline or a mess — there is no third state. This programme takes working developers from ad-hoc prompting to a repeatable, team-ready workflow: plan first, review always, automate the guardrails, and package what works so the whole team benefits.

What makes this different

You bring your own repository. The skills, hooks and instructions you build here are not exercises — they leave with you, working.

Who this is for

Comfort with a terminal, Git and at least one programming stack. No AI experience needed; strong opinions about code quality welcome.

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