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Register your interestDeesha AI · Course
Build agents that carry multi-step work in your Spring stack — with state, plans and boundaries
Designed for
Course curriculum
Duration: 40 guided hours
FoundationSessions 1–3
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
FoundationSessions 1–3
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
No dates yet
We plan batches around demand. Weekend, morning and intensive formats open when enough people ask for them.
Register your interestWho teaches this
Each batch is assigned its own trainer from this group, named before you enrol.

Vishal Shah
Founder & Principal Trainer
Two decades building and teaching commerce, banking and cloud platforms — still writing code

Shrenik Shah
Principal Trainer
Cloud and AI architect who has upskilled over 5,000 engineers in Java, React, Python and cloud
Detailed course information
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.
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.
The agentic stage of the AI Application Engineer pathway — followed by the AI Reliability Lab and the production stage.
Get batch details
Tell us the schedule that would suit you and we will let you know when a batch opens.
Where this leads
Step 3 of 4
AI Application Engineer · 2–3 months
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