Technology Track · 3-Day Weekday Masterclass

In 3 Days, Learn to Own AI Products With Confidence.

A hands-on, no-code masterclass for product owners who must judge AI output and govern AI delivery.

You do not need to build the model. You need to judge it, spec it, and stop it from drifting. Three days of model fluency, specifications as requirements, and evals as acceptance criteria.

“He holds the sole-inventor patent for LLM agent systems, granted in 2023, and has spent close to two decades delivering technical training. He has hand-built AI systems for classified environments where the public internet does not exist. In this masterclass, he shares the architecture, his working methods, and the deployment blueprints drawn from completed projects, compressed into 3 days of intensive, hands-on learning.”
Prebook the Product Owner Masterclass

Cohorts of 10 to 25, and seats are running out. Prebooking is free; you pay by invoice only when your cohort is confirmed.

AI Demos Are Designed to Convince You, and That Is the Problem.

Demos Deceive

A demo is the best output the vendor could produce, edited. Your users will get the average output, not the demo.

You Cannot Judge What You Cannot Test

Without defined criteria for good output, every review is a taste argument you lose.

Vendors Oversell

Buy versus build decisions get made on brochures. Cost modelling makes the decision boring, and boring is reliable.

The Cancellation Trap

Gartner expects over 40 per cent of agentic AI projects to be cancelled by end 2027, killed by cost, unclear value, and weak controls.

Bootcamp Fatigue

Hundreds of courses, the same recycled content. The trainer sat through them too, and now teaches exactly the part they all skip.

Paper Only

Certificates confirm attendance. The concepts that matter live only in the trainer's head. Here, they live in yours.

Do these sound familiar? Judgement is the fix that keeps projects funded.

Yes, Sharpen My Judgement

The Engineer Who Has Already Hit Every Wall.

The playbook behind every masterclass was bought with years of production attempts and hard failures. The count of the wall is the lesson, and it is the first thing he teaches.

More Than 100 Students in 2026

More than a hundred students in Singapore completed this similar AI training this year. The format is proven with a live audience.

The Patent

The sole-inventor patent for LLM agent systems, granted in 2023. The legal and logical foundation of modern agents.

GPUs Before the Buzzword

18 years of compute on GPUs, back when the field was called HPC, long before AI became a marketing buzzword.

A Trainer for Over Two Decades

Teaching engineers has been the day job for more than twenty years. Training is the craft, not a side engagement.

Air-Gap and Hybrid Infrastructure

25 years across AWS, Azure, GCP, and on-premises bare metal, including air-gapped environments few engineers ever see.

10 to 25 Seats a Cohort

Small cohorts keep the help personal. Seats are running out fast.

Past students say the most valuable part is simple. You get to ask a human who has done a few things successfully before.

Reserve My Product Seat

The Evidence Keeps Piling Up, and It Does Not Wait.

BBC, The Straits Times · Feb 2025

The bank has said it openly

DBS is phasing out about 4,000 contract and temporary roles over three years as AI takes on work previously done by humans.

CNA · Aug 2026

Experience alone is no longer a shield

About 4 in 10 of those affected by the GovTech cuts were officers in their 40s.

Google, Fortune · Apr 2026

The curve is nearly vertical

75 per cent of all new code at Google is now AI-generated, reviewed and approved by engineers.

IBM Institute for Business Value

This hiring cycle, not 2035

40 per cent of the workforce will need reskilling within three years because of AI.

Dark Daily · Oct 2025

The scan doctors got busier, not redundant

AI now helps read CT scans, yet imaging demand grew even faster and radiologist vacancies stayed high. When AI makes something cheaper, the world orders more of it.

BBC, Business reporting · May 2025

The fintech that rehired its humans

Klarna let an AI assistant do the work of 700 service agents, then rehired people when quality slipped. The winners are the humans who can direct the AI.

None of these companies failed. They restructured, and loyalty no longer shields anyone. PwC’s 2026 jobs barometer finds roles professionalised by AI growing twice as fast as the rest. Be the one directing the machines, not the one replaced by them.

Hold My Priority Spot

Three Days. Judge It, Spec It, Govern It.

Day Morning Afternoon Focus
Day 1 You learn what large language models can and cannot do, hands-on, with no code anywhere. Model selection for products follows, with cost modelling for real workloads. The afternoon covers build versus buy decisions and the multimodal possibilities most product plans miss. Judge the Machine, No Code
Day 2 You write specifications that act as product requirements, precise enough for agents to follow and for humans to review. Evals become your acceptance criteria, and you practise governing agent delivery without reading every line of code. Spec It, Then Govern It
Day 3 Risk and governance come together, including the cancellation trap and how strong projects avoid it. The capstone is a product spec with acceptance evals, written by you for a real feature, plus a roadmap masterclass. Ship It Responsibly

Each day comprises approximately 25% guided sessions, 60% hands-on labs on a real task, and 15% structured reflection. The table above is an example. Actual content includes more practical material than described, may differ slightly as it tracks the latest industry trends, and is refreshed right up to each cohort. The exact setup guide will be shared one week before Day 1.

Before You Arrive

What to bring for the course

  • A laptop with a modern browser, sufficient memory, and free disk space for the labs
  • Everyday computer fluency; no coding background is required
  • For the role you already do, bring one real task or document to work on

What is provided

  • Basic AI credits for the course labs, so there is nothing to purchase beforehand
  • The professional setup guide, shared one week before Day 1

Save My Seat Now

Two Ways to Take the Masterclass.

Standard

An open cohort on the published outline

  • An open cohort of 10 to 25
  • The published 3-day outline, weekday, Mon to Fri
  • All AI credits for the labs, and the setup guide
  • The 30-day follow-up question-and-answer clinic
Prebook Standard

Custom

A private cohort tailored to your organisation

  • A private cohort for your organisation
  • A needs analysis call with the trainer before the course
  • An agenda tailored to your industry, data, and toolchain
  • Labs run on your own documents and codebase
  • A two-week post-course implementation clinic
  • Travel and venue billed separately where applicable
Enquire About Custom

Prebooking is free. You pay by invoice only when your cohort is confirmed.

What You Walk Out With

Model Judgement

First-hand fluency in what models can and cannot do, no code needed.

Specs as Requirements

Specifications precise enough that agents and vendors build the right thing.

Evals as Acceptance

Acceptance criteria a machine can test, so quality stops being an argument.

Build-Versus-Buy Clarity

Cost modelling that turns vendor claims into decisions.

Delivery Governance

Oversight of agent delivery without micromanaging engineers.

A Product Spec

A complete spec with acceptance evals, written for your own product.

Walk out able to say yes and no to AI output, with reasons.

Start Owning in 2027

One Foundation. Six Masterclass Families.

The Foundation Course is the shared entry, running every weekend. Each masterclass below runs as a 3-day weekday specialist course, in a Standard open cohort or a Custom private cohort for your organisation.

Manager Track

Leader Track

You bring the domain expertise. We bring the engineering discipline. Own the outcome, not the hype.

Prebook My Seat Now