Foundation Course · Standard · Weekend, Sat to Sun

From AI Curious to AI Capable, in One Weekend.

A hands-on 2-day AI foundation course taught by an engineer who has already hit every wall, so you do not have to.

Learn what AI really is, how large language models work, and leave with a running, multimodal prototype you built yourself. No heavy mathematics, no theory walls, and no unexplained jargon.

2 days, Saturday to Sunday · Cohorts of 10 to 25 · First cohorts begin around January 2027

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

Four Ways In. Pick the One That Fits.

You Have Watched the Videos and Read the Books, and Still Cannot Start.

Hundreds of Courses, No Start

You learned from hundreds of online videos, books, and courses, and still did not know how to get started. The trainer lived exactly that journey, and built this weekend to be the start he never had.

High-Level Theory, Nothing Practical

Friends and forums hand out high-level AI theory. When you try to use it, nothing works. This weekend is practical from the first hour.

Theory Walls and Heavy Maths

Most courses re-teach school statistics or bury you under mathematics. Here the transformer takes one plain-language hour, just enough to reason about model behaviour.

Too Many Models, No Map

ChatGPT, Gemini, Claude, DeepSeek, Qwen, Kimi, GLM. You do not need more options; you need a map and the judgement to choose.

Vendor Locked

One company's framework dies the day you step away from it. Your skills should not.

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? This weekend is the fix.

Yes, Start Me Properly

Two Days. Hands On. No Filler.

Day Morning Afternoon Focus
Day 1 You start with what AI is and what it is not, then meet the large language model at a high level with tokens, prediction, and context windows. The transformer takes one plain-language hour, and the morning closes with hands-on model selection across ChatGPT, Gemini, Claude, DeepSeek, and open-weight models. The afternoon is the API. You make your first call, stream output, and control parameters, then let the model call your code with function calling. Multimodal inputs and embeddings close the day. Understand the Machine
Day 2 Streamlit gives you a working chat interface before the first break. You then build a document question-and-answer prototype over your own files and make it multimodal. You add guardrails and cost control, define what a good answer means with evals, and map your next masterclass on the ladder. The day ends with show and tell, where every participant demos their prototype. Build Something Useful

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
  • One real task or document from your own work to build 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

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What You Walk Out With

A Working Prototype

A multimodal, document-aware AI application you built and can run the moment you get home.

Model Selection Judgement

The ability to pick between ChatGPT, Gemini, Claude, DeepSeek, and open-weight models for cost, latency, and capability.

API Fluency

First-hand command of the request loop, streaming, parameters, and function calling.

Retrieval Basics

How embeddings let machines find your documents, and how to build retrieval that works.

Guardrails and Cost Control

Input checks, spending caps, and the habit of defining good output before you ship.

Your Next Masterclass

A clear view of the six masterclass families and which one fits your role.

Walk out with something you built, not notes you will never read.

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The Engineer Who Has Already Hit Every Wall.

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

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.

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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 Foundation Seat

One Foundation. Six Families. Seventeen Masterclasses.

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

Manager & Leader

You bring the domain expertise. We bring the engineering discipline. The foundation is where it all begins.

Teovate Is More Than a Classroom.

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