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DTA-25AvailableAI & Agentic AIAgentsSpring AIWorkflowsMCPMulti-agent patternsJava

Agentic AI Engineering — Java

Build agents that carry multi-step work in your Spring stack — with state, plans and boundaries

Fee
₹6,000
Duration
40 guided hours
Mode
Online / Offline
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Designed for

  • Java developers who finished Spring AI Developer and want systems that act
  • Backend engineers whose teams are being asked "can an agent do this"
  • Teams that need agents inside real Spring services, not notebook demos

Course curriculum

10 progressive modules

Duration: 40 guided hours

  1. Foundation
  2. Intermediate
  3. Advanced
  1. FoundationSessions 1–3

    From AI features to agents

    • The agent loop — goal, decide, act, observe, continue, complete
    • What separates an agent from a workflow, precisely
    • The cost of agency, and when not to pay it

    What you will build

    The stage-four scoring exercise made rigorous: three real problems routed to prompt, workflow or agent — each decision defended in writing.

    Module 1

Batches

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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

Stage one taught your Spring stack to think; this course teaches it to act. Agents here are not chat loops with tools bolted on — they are Spring services that carry multi-step work with persistent state, reviewable plans, human approval where it matters, and boundaries that hold when the model gets creative.

Who this is for

You need Spring AI Developer or equivalent — working ChatClient, tool calling and RAG experience. The Agent Builder Lab is the two-day on-ramp that precedes this course on the pathway.

Where it leads

The agentic stage of the AI Application Engineer pathway — followed by the AI Reliability Lab and the production stage.

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Where this leads

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