Balaji Nagaraj Kumar
VP of AI Engineering, Moring
Paid workshop
Modern AIPRO
Modern AIPROTurn use cases into tested AI agents with governance built in.
Build and evaluate an agent, define its permissions, and test its failure modes. Prepare the security evidence and operating runbook needed to assess go-live readiness.
Starts October 30, 2026
Your instructors
Dr. Balaji Viswanathan
Co-founder & CEO, Modern AI Pro
3 days · 16 hours · 17 sessions
For engineers, product managers and business professionals working on AI delivery.
What you’ll work through
Discovery. Delivery. Go-live.
Build an agent for a simulated use case, connect it to tools and data, and test it against agreed acceptance criteria. Add governance controls and prepare the deployment, review evidence and operating instructions.
Day 1 · Discovery & the first slice
Understand the problem before you build.
- Interview a simulated customer to uncover their workflow, data and constraints.
- Estimate value and choose the smallest useful first release.
- Write an engagement brief with success metrics and clear scope.
You produce An engagement brief.
Day 2 · Build & evaluate
Connect the build to the customer’s reality.
- Map the architecture, identity, data and tool connections.
- Build the first slice and connect systems through MCP.
- Define evaluation cases and acceptance criteria before calling it done.
You produce An agent build, an integration map and evaluation tests with acceptance criteria.
Day 3 · Trust & handover
Prove it can be operated responsibly.
- Work through security review, access and data-residency questions.
- Design governance evidence and human approval controls.
- Prepare operating instructions, support responsibilities and test ownership. Present your build in a simulated go-live review covering operations, finance, security and risk.
You produce A deployed agent build for the workshop use case, security and governance evidence, and an operating runbook.
Who this is for
Built for the people who
own AI delivery.
Engineers practise the customer-facing decisions around architecture, integration, evaluations and deployment.
Product managers and business professionals practise discovery, value, scope and stakeholder decisions alongside the technical build.
The syllabus pairs engineering and business participants around the same engagement, with code-based and configuration-based exercises.
Workshop questions
FAQs
Who is this workshop for?
Engineers, product managers and business professionals involved in building or delivering AI systems. Engineering and business participants work in pairs, with code-based and configuration-based exercises.
Will I actually build an AI agent?
Yes. You build an agent for a simulated use case, connect tools and data, evaluate its behaviour, and work through access controls, human approvals and deployment. You also prepare security and governance evidence and an operating runbook.
Am I making a payment or reserving a seat?
No. This form only registers your interest in the paid workshop. It does not collect payment or reserve a seat.
What happens after I register my interest?
We’ll follow up with the workshop timings, fee and registration process. The workshop starts on October 30, 2026; the programme spans three days and 16 hours.