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DTA-19AvailableAI & Agentic AISpring AIRAGMCPTool callingSpring BootJava

Spring AI Developer

Turn your Spring Boot expertise into production-ready AI application development

Designed for

  • Java developers who know Core Java, Spring Boot and REST
  • Backend engineers whose teams are being asked for AI features
  • Spring Data and Spring Security experience helpful, not required
Fee
₹6,000
Duration
40 guided hours
Mode
Online / Offline
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Course curriculum

11 progressive modules

Duration: 40 guided hours

  1. Foundation
  2. Intermediate
  3. Advanced

  1. FoundationSessions 1–2

    LLM foundations, for a Java backend developer

    • What a language model is and is not, in engineering terms
    • Tokens, context windows and why they are a budget
    • Hallucination as a failure mode you design around
    • Model selection as a trade-off of cost, latency and quality

    What you will build

    A model called three ways from plain Java, with token usage and cost read off the response, the bill demystified before any framework arrives.

    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, 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

Most Java developers are watching the AI wave happen in Python. It does not have to: Spring AI brings the whole stack (models, structured outputs, tools, RAG, MCP) into the ecosystem you already know, and this programme takes a working Spring developer through all of it in four weeks.

What makes this different

Everything lands in a real Spring Boot service, not a notebook. Structured outputs bind to Java records, tools call your own beans behind transaction boundaries, and the capstone ships with the production controls a reviewer would demand.

Who this is for

You need working Spring Boot, the depth taught in Spring Boot REST API. No AI experience is assumed; the first module builds the foundations in engineering terms.

Where it leads

The Java branch of the AI Application Engineer pathway.

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