AI Week 2026 · Tech Track · First Cohort

Took All the Other AI Courses and Still Don't Know How to Use It?

Build production AI like you've already failed twice, and actually learned from the mess.

A 3‑day, code‑first workshop taught by an engineer who has been doing compute on GPUs since 2008, shipped 25 years of cloud and on‑prem infrastructure, and builds AI systems from scratch for public sector and Fortune enterprises, including fully air‑gapped environments few engineers ever get to touch.

“He holds the sole‑inventor patent for LLM agent systems, granted in 2023, and has spent nearly two decades debugging petabyte‑scale HPC clusters. He has hand‑built AI stacks for classified environments where the public internet simply does not exist. In this workshop, he hands you the architecture, his tips and tricks, and the deployment blueprints, compressed into just 3 days of intensive, code‑first learning.”
Join the Tech Waitlist

Cohorts of 10 to 25 engineers. First cohort starts Jan 2027. Seats are running out.

The Real Problem

Stop Taking Courses That Leave You Stranded. Let's Re‑Cap the Basics.

A Dozen Bootcamps, Zero Production Skills

You've sat through a dozen AI bootcamps and still don't know how to actually use it in production. Let's change that.

Theory Everywhere, Still Don't Know How to Start

Other courses teach theory by the bucketload. You finish with pages of notes and still don't know how to start on Monday morning.

So Many Models, No Idea Where to Start

GPT, Claude, Gemini, DeepSeek, Kimi, Qwen, open weights, agents, MCPs. So many models and tools, and no idea where to start. You need a map, not more options.

Certificates Say You Attended, Yet You Can't Apply It

Everyone takes the courses. Applying it at work is another story. That gap is where projects stall and careers plateau.

Sound familiar? This is the fix.

The Fear Factor

Four Headlines. One Pattern. The Market Is Already Choosing.

01 · CNA, The Straits Times · Jul 2026

GovTech retrenches 93 staff, with 7 to 9 per cent of roles affected over two years

Singapore's own tech agency began a three‑phase restructuring. Officers in their 40s formed the largest affected group, about 4 in 10.

02 · The Straits Times, Business Times · Sep 2026

CapitaLand Investment cuts 90 jobs in Singapore

About 4 per cent of its local workforce, announced with the union on Sep 3 as the firm reviews its organisational structure.

03 · CNA, MOM data · Jun 2026

Retrenchments climbed in Q1 2026, and degree holders were hit harder

MOM flagged a sharper rise in retrenchment incidence among higher‑educated workers as professional and knowledge‑intensive sectors restructure.

04 · BBC, The Straits Times · Feb 2025

DBS to phase out about 4,000 contract and temp roles as AI takes on more work

Singapore's biggest bank said AI is taking on tasks currently done by humans, with reductions over three years.

Restructuring, automation, and upskilling gaps are already deciding who stays. Be the one who upskilled in time.

Get the Launch Alert First

The Instructor

Not a Cloud‑Native Bro. An Engineer Who Built for the Silo, Government Agencies, and Global Enterprises.

The Patent

Sole‑inventor patent for LLM agent systems (2023). Not a rehash of someone else's whitepaper, but the legal and logical foundation of modern agents.

18 Years of HPC

Training on GPUs long before “AI” was a marketing buzzword. In 2026 alone: $1M+ in live enterprise training while deploying production AI for government, defense, finance, and healthcare.

Air‑Gap & Hybrid Infra

25 years across AWS, Azure, GCP, and on‑prem bare metal. Air‑gapped? Offline deployments? On‑prem Kubernetes with no internet? All done. Learn to design AI that survives the void.

10 to 25 Seats a Cohort

The next batches will be polished. This waitlist puts you in the raw, unfiltered first crew: first to learn, first to deploy, first to break things with a patent‑holder watching over your shoulder. Seats are running out fast.

Reserve My Priority Spot

The Curriculum

3 Days. No Fancy Math Fluff. Just Agentic Engineering, Spec‑Driven Delivery, and Hardening.

Day Morning Afternoon Focus
Day 1 The state of agentic coding: from vibe coding to production‑grade agent engineering. Context engineering, and why your engineering maturity decides whether AI amplifies your strengths or your mistakes. Anatomy of MCP: tool manifests, credential scoping, and plan vs execution modes. AGENTS.md, tools, skills, slash commands & hooks: compose ambient context, intent‑triggered skills with clear trust boundaries, and automated guardrails into one reliable agentic workflow. Agentic Foundations
Day 2 Spec‑driven development with GitHub Spec Kit: specify, plan, tasks, implement, converge. Turn a rough idea into a governed build pipeline where the spec, not the prompt, drives the code. Superpowers in practice: composable skills, brainstorm‑to‑plan workflows, and subagent‑driven development. Harness engineering hands‑on: sensors, hooks, and CI gates that shift error detection left. Build your own harness system on your own project, then show & tell. Specs & Harness
Day 3 AI evals with LLM‑as‑judge: benchmark prompts at scale and define what accurate, relevant, complete output means. AI security: prompt injection, supply chain risks, zero trust agent boundaries, sandboxing, and security gates in your delivery loop. Agent orchestrator patterns: coordinating planner, coder, and reviewer agents through multi‑agent workflows composed with your harness. The Future of AI: agentic engineering as a design discipline, and the human skills that survive: taste, orchestration, and guidance. Hardening & Beyond

Each day: ~25% guided sessions, ~60% hands‑on labs on a real codebase, ~15% structured reflection. The tables above are the floor, not the ceiling: actual content includes more practical material than described here, may differ slightly as it tracks the latest industry trends, and is refreshed right up to each cohort. Bring a laptop with admin rights and working knowledge of Python and JavaScript. Setup guide shared one week before Day 1.

Save My Seat on the Waitlist

The Outcomes

What You Walk Away With

A Durable Harness Framework

A framework for deciding, in any codebase and for any concern, which harness mechanism fits, and when to compose several together, so harness design becomes a systematic choice, not a guess.

Spec‑Driven Delivery Fluency

Run the full Spec Kit loop: specify, plan, tasks, implement, converge, with guardrails at every step and agents that follow the spec instead of the vibe.

A Working Harness System

A harness you built yourself, across a real codebase, covering architecture, quality, and compliance concerns, and ready to keep running after the course.

Agent Orchestration Patterns

Orchestrator patterns for coordinating planner, coder, and reviewer agents, so multi‑agent work stays on plan and under review.

MCP, Skills & Hooks Fluency

Design trustworthy MCP tool manifests, scope credentials properly, and wire skills and hooks into an agentic workflow your whole team can rely on.

Context Engineering Judgment

Know what belongs in ambient context, what belongs in a skill, and how your engineering maturity decides whether AI amplifies your team or your rework.

AI Evals That Scale

Evaluate LLM‑generated output with LLM‑as‑judge, benchmark prompts at scale, and define criteria for accuracy, relevance, completeness, and usefulness.

AI Security Hardening

Defend against prompt injection and supply chain risks, apply zero trust agent boundaries, and add sandboxing and security gates to your delivery loop.

Portable Artifacts & Support

Harness profile cards, a harness system diagram, and a packaging strategy that translate to your workplace, plus 30 days of async Q&A with the trainer.

Start Building With Us in Jan 2027

Your Next Step

Claim My Spot in Batch #1

No spam. Just 2 launch alerts. Waitlist members get first access to the Jan 2027 cohorts of 10 to 25 engineers each, and seats are running out. 18 years of HPC, 25 years of hybrid infrastructure, and 1 patent: your shortcut to production‑grade AI.