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.
A hands-on, no-code masterclass for business analysts working on AI-powered systems.
AI systems fail on vague requirements more than on weak models. Three days of model fluency, spec-driven requirements, and defining accurate output precisely.
“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 Analyst Masterclass
Cohorts of 10 to 25, and seats are running out. Prebooking is free; you pay by invoice only when your cohort is confirmed.
The Real Problem
Prose requirements let human teams fill the gaps with judgement. Agents fill the gaps with whatever is statistically likely.
If accurate, relevant, and complete are never defined, every output review becomes a mood.
Extraction and summarisation look easy until a wrong number reaches a client, and then it is your signature on it.
Analysts who write eval criteria catch failure before the build. Analysts who do not, catch it in production.
Hundreds of courses, the same recycled content. The trainer sat through them too, and now teaches exactly the part they all skip.
Certificates confirm attendance. The concepts that matter live only in the trainer's head. Here, they live in yours.
Do these sound familiar? Precision is the fix that machines reward.
The Trainer
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 a hundred students in Singapore completed this similar AI training this year. The format is proven with a live audience.
The sole-inventor patent for LLM agent systems, granted in 2023. The legal and logical foundation of modern agents.
18 years of compute on GPUs, back when the field was called HPC, long before AI became a marketing buzzword.
Teaching engineers has been the day job for more than twenty years. Training is the craft, not a side engagement.
25 years across AWS, Azure, GCP, and on-premises bare metal, including air-gapped environments few engineers ever see.
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.
Why Now
DBS is phasing out about 4,000 contract and temporary roles over three years as AI takes on work previously done by humans.
About 4 in 10 of those affected by the GovTech cuts were officers in their 40s.
75 per cent of all new code at Google is now AI-generated, reviewed and approved by engineers.
40 per cent of the workforce will need reskilling within three years because of AI.
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.
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.
The Curriculum
| Day | Morning | Afternoon | Focus |
|---|---|---|---|
| Day 1 | You get hands-on model fluency and model selection for analysis work, with no code anywhere. | The afternoon covers document workflows, and where extraction and summarisation hold up or fall apart. | LLM Literacy for Analysts |
| Day 2 | Brainstorm-to-plan workflows turn messy stakeholder input into structured material. | You then write spec-driven requirements, and define what accurate output means before anything is built. | Requirements in the Age of Agents |
| Day 3 | You write eval criteria that a machine can test, turning your definitions into acceptance checks. | The capstone is a complete requirement pack with acceptance evals, written by you for a real process. | From Requirements to Evals |
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
Standard or Custom
Standard
Custom
Prebooking is free. You pay by invoice only when your cohort is confirmed.
The Outcomes
Practical command of models for analysis work, no code needed.
Extraction and summarisation patterns you can trust.
Requirements structured for agents and for human review.
Criteria for accurate, relevant, and complete output, written down.
Eval criteria that become acceptance checks.
A complete pack with evals, built for your own process.
Walk out with requirements that survive contact with a machine.
Masterclass Menu
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.
Technical Track
Technology Track
Manager Track
Leader Track
Functional Track
OPC Track
You bring the domain expertise. We bring the engineering discipline. Precision is the new analysis.
Prebook
Prebooking is free and takes two minutes. You get 48-hour priority access to the next cohort of 10 to 25 each, and we confirm dates, venue, and your invoice before any payment. Built for business analysts whose documents are about to become machine-readable instructions.
This is not only about confidence with AI. It shapes your job, your career, your team, your projects, and the example your children grow up with. Choose the building side while the choice is still yours.
Prebook My Seat Now