Two one-day intensives in Singapore, each followed by two weeks on your own real
work. Build agentic AI that holds up in production - or learn to scope it so organisations keep
using it.
8 & 15 AUGUST 2026 · SINGAPORE · 20 SEATS EACH
SAT 8 AUGUST 2026
AI Consulting
BECOME A TOP-TIER AI CONSULTANT / PRODUCT LEADER
Scope agentic work that organisations keep using and can measure - the bridge
between what the business needs and what the product does.
WHAT YOU LEARN
Interview a practitioner and find where the judgment really sits
Decompose a workflow: what an agent owns, what stays human
Design and validate an agentic workflow end to end
Size it with numbers that survive being questioned
WHAT IT GETS YOU
Agentic work that moves numbers the business cares about
Workflows teams still use months later, not pilots that die
Less patching - it keeps running after you hand it over
You become the interface between business and product
$1,200 · 20 seats only · scholarships available
Prerequisites: you own or shape AI work - product owners,
consultants, transformation leads. Not an introduction to AI.
SAT 15 AUGUST 2026
Agentic Building
BECOME A TOP-TIER AGENTIC AI ENGINEER
Build agentic AI that holds up in production and pays for itself - instead of
workflows you spend every week patching.
WHAT YOU LEARN
Read an unfamiliar, messy codebase and locate the change
Build an agentic workflow on a real system, not a tutorial
Put logic in code, the model only where judgment is needed
Gate anything the agent cannot undo
WHAT IT GETS YOU
Workflows that hold up without constant babysitting
Stop rebuilding - the fix is architecture, not more prompting
Ship something that survives production, not a demo
Be the engineer who can actually deliver this
$1,200 · 20 seats only · scholarships available
Prerequisites: you should already know some AI or software.
Engineers and career-changers welcome.
Ethan Seow
Co-founder, Centre for AI Leadership · AI Security Working Group, National
AI Office Malaysia · ISACA 2023 Infosec Leader · ISC2 APAC Rising Star ·
MSc Cyber Security
Builds agentic AI for enterprise clients, then trains the engineers who deliver
it. 1,500+ trained in AI across Singapore Power, Keppel, GSK, SMRT and government agencies.
TEDx & Black Hat Asia speaker.
Why it exists
In a controlled study, doctors were given AI advice that was confident and wrong. Their accuracy
got worse. The most experienced clinicians fell the hardest - because years had
taught them that a well-articulated claim in their field is usually correct. They had everything
they needed to catch the error. They just did not engage it.
That is the whole problem. Not that AI is too clever. That we stop asking.
Why it is harder than it looks
Building an agent that actually works is a multi-disciplinary job. You need
design thinking, to work out what the process should even be. Psychology
and UX, because you are modelling how someone really works, not how they describe it.
Software engineering, because it has to hold up when nobody is watching. And enough
understanding of how the model works to know where it will drift.
Most people are strong in one or two. That gap is why so many agent projects quietly die - not
because the demo failed, but because the thing needed patching every week until someone shelved it.
Straight about the other half of it: this is also how I find people for the
Guildhall - the C4AIL community, and the work that comes after it.
The aim is helping people get there, if they can. I will give you everything I
have on the day and for the two weeks after. Whether it lands is partly on you, and I would rather
say that now than sell you a certificate. Either way you will leave knowing something real about
how these tools work and where they will burn you.
in partnership with, our training partner.
Apply
Places are limited and I read every one of these myself. If it is a fit I will send you the brief
with the two setup steps.