Deesha AI · SkillLab
Agent Builder Lab
Two hands-on days building your first real agent — a goal, tools, boundaries and the ability to act — starting from use-case discovery, because the expensive mistake in agentic AI is building an agent for a problem that needed a workflow. You leave with a working tool-using agent and a reusable design template.
Designed for
- Developers who understand APIs and basic LLM integration
- Teams being asked "can an agent do this" and needing a real answer
- Engineers who built a chatbot and want it to actually do things
- Technical leads scoping their first agentic project
- Fee
- ₹2,700
- Duration
- 2 days · 16 hours
- Each day
- 09:00 – 17:00
- Mode
- Offline / Online
The 2 days, hour by hour
10 hands-on sessions — every one ends in a thing
Day 1
09:00 – 17:00Discover and design
5 sessions09:00 – 10:15
Draw the line between agent and everything else
AI vs GenAI vs automation vs agentic, the agent loop, honest definitions
Takeaway Four real systems classified correctly — including the "agent" that is actually a cron job.
10:30 – 11:45
Hunt for agentic use cases in real work
use-case discovery, scoring value vs risk, the toolkit
Takeaway Your own work mined for candidates and scored — a ranked shortlist, not a brainstorm.
12:00 – 13:00
Decide what each problem actually needs
prompt vs automation vs workflow vs agent, cost of agency
Takeaway Each shortlisted case routed to the cheapest thing that solves it — most are not agents, and that is the lesson.
14:00 – 15:15
Design the agent before building it
goal and success criteria, tool boundaries, approval points
Takeaway A one-page agent design — goal, tools, boundaries, approvals, success criteria — reviewed by the room.
15:30 – 17:00
Stand up the skeleton
the agent loop implemented, first tool, first trace
Takeaway The loop running with one tool — and its first trace read line by line.
Day 2
09:00 – 17:00Build and constrain
5 sessions09:00 – 10:15
Give it real tools
tool selection, schemas the model uses well, MCP tools
Takeaway The agent choosing correctly between three tools — because the schemas made the choice easy.
10:30 – 11:45
Add state and constraints
task state, budgets and stop conditions, runaway prevention
Takeaway A budget and stop condition that end a runaway loop — triggered on purpose, stopped on cue.
12:00 – 13:00
Put a human where it matters
approval gates, consequential actions, escalation
Takeaway The agent pausing for approval before the irreversible step — and proceeding cleanly after it.
14:00 – 15:15
Test against failure, not just success
failure scenarios, tool errors, wrong-tool recovery
Takeaway The agent surviving a failing tool and a misleading input — behaviour verified, not hoped for.
15:30 – 17:00
Template it for the next one
the design template, demo, what a second agent would reuse
Takeaway Your agent demoed, and the reusable design template that makes the second agent a day's work.
By the end of day 2, you are holding
A working single agent that chooses and uses tools within explicit boundaries, its traces readable end to end — plus the use-case scoring toolkit and agent design template you will reuse on every agentic project after this one.
Request a schedule
Agent Builder Lab
Runs on request, for individuals and for teams.
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Who runs it
Practitioners, in the room with you
All trainers and mentorsEach workshop names its trainer before you book.

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)

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
Running this for a team?
We deliver SkillLabs on site for institutions and engineering teams.
₹2,700
2 days · 16 hours