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.
No dates announced
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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, and 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