Agentic Systems

Learn to build one focused AI-agent workflow.

Build Reliable AI Agents

Work with Sunil Mathew on a bounded use case. Connect the agent’s task, tools and context into a workflow you can build, examine and explain.

Programme overviewDetails
Who this is forDevelopers, product and programme managers exploring one focused workflow; hands-on scope depends on technical starting point.
Learning outcomeBuild a bounded AI-agent workflow and explain its tools, behaviour, human review points and limitations.
Duration3 weeks
FormatLive cohort learning, with 4–5 hours of independent work a week in addition to live sessions.
CohortA live cohort of 8, never more than 10. It starts once 8 participants have confirmed. Sessions are not recorded.
CertificateA certificate of completion from Sunil Mathew. It is not accredited by a university or certification body.
Hours10 live cohort hours
Fee$499 per participant
GSTNot charged at the moment. If that changes, we will tell you before you pay.
Next stepRequest a fit call
One woven sphere inside an unbroken stone ring, joined by three separate threads to three small pieces: a folded card, a wire hook and a paper box. Nothing crosses the ring.

One workflow, built and understood end to end

A focused workflow gives you room to investigate the decisions. What is the agent responsible for? Which actions are allowed? What information does it need? Where should a person intervene?

You build the core workflow, examine its behaviour and use feedback to identify what needs to change.

Four decisions to work through

  1. Responsibility

    define the task and where the agent's responsibility ends.

  2. Workflow

    connect tools and context to that task.

  3. Evaluation

    examine whether the agent does what you intended and where it fails.

  4. Limits

    explain human review points and the work needed before broader use.

The intended result is a bounded agent build with a clearer account of its workflow and limitations.

Does this fit your starting point?

Developers can discuss a practical build. Product and programme managers can explore the design and evaluation work relevant to their responsibilities. The hands-on scope is matched to your technical starting point before joining.

If your problem needs several agents working together, compare Design and Build Multi-Agent Systems.

Your commitment

10 live cohort hours with Sunil, plus 4–5 hours of independent work per week. The fee is $499 per participant. Scope, schedule and payment arrangements are discussed before joining.

Use the independent time to build, inspect behaviour and prepare questions for the next discussion.

Sunil Mathew

Guidance from Sunil Mathew

Sunil's 26-year engineering career includes past roles at Google, Amazon and Walmart Labs. He brings that experience into practical teaching that asks you to connect a working result to the reasoning behind it.

Read about Sunil

Can I bring an idea from work?

Yes. Describe it at a high level, and we shape it into something safe to build in a focused learning project. Taking it into your organisation needs further engineering and review.

Discuss your build

Programme: Build Reliable AI Agents

Sunil reads every request and replies within 2 working days to arrange a 20-minute fit call about your goal, fit and availability. After sending your request, you can add your use case, technical starting point and whether an employer will fund your place. This extra context is optional at first contact. Keep confidential company information out of your message.

We discuss project fit, scope, schedule and payment arrangements before confirming a place. Enquiring does not reserve a place or make a payment.

Ask about fit · Email about this programme · Compare Agentic Systems programmes

Build Reliable AI Agents
10 live hours · $499

Request a fit call