Technology Track · 3-Day Weekday Masterclass

In 3 Days, Learn to Deliver AI Projects That Beat the Cancellation Odds.

A hands-on, no-code masterclass for project managers delivering AI initiatives.

Gartner expects over 40 per cent of agentic AI projects to be cancelled by end 2027. This masterclass teaches you to plan, track, and govern AI delivery so yours is not one of them.

“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 PM 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 Projects Do Not Fail Loudly. They Drift Quietly Until Someone Pulls the Plug.

Plans Assume Determinism

Gantt charts assume tasks finish predictably. Agent work varies run to run, and your plan needs new checkpoints.

Status Reports Lie

The demo looks alive while the quality quietly degrades. Without eval checkpoints, green status is a guess.

Risk Registers Miss AI Risks

Injection, cost overruns, and vendor lock-in rarely appear on a classic risk register.

Value Stays Unclear

Unclear business value is the top killer of agentic projects. Value needs defining before the build, not after.

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? Governance is the fix that keeps projects alive.

Yes, Future-Proof My Delivery

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 PM 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. Plan It, Track It, Keep It Alive.

Day Morning Afternoon Focus
Day 1 You learn hands-on what models and agents change about delivery, with no code anywhere. The afternoon covers planning with non-determinism, and where classic milestones break. AI Literacy for Delivery Leads
Day 2 You build plans around specifications and eval checkpoints, so progress is measured output, not promises. Vendor governance follows, from contracts to the questions that keep external builds honest. Spec-Driven Planning
Day 3 You rebuild your risk register for AI realities, including injection, cost, and the cancellation trap. The capstone is a delivery plan with eval checkpoints for a real project, built by you and presented. Risk and Governance

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

Delivery Fluency for AI

What agents change about plans, milestones, and tracking, hands-on.

Eval Checkpoints

Milestones measured by output quality, not by optimism.

AI-Aware Risk Registers

Injection, cost, and lock-in risks on the register, where they belong.

Vendor Governance

The contracts and questions that keep external builds honest.

Defined Value

A value statement precise enough to survive a steering committee.

A Delivery Plan

A plan with eval checkpoints, built for your real project.

Walk out with a plan that survives the demo-to-production gap.

Start Delivering 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. Delivery discipline wins.

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