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Work

One real task from your team's own work, automated with AI and measured.

A year for teams of up to 20: learn to use AI safely at work, then automate one real task and measure what it saves.

For
Staff teams of up to 20, chosen by the employer
Length
12 months, from about February 2027
Each month
One 4-hour live sitting and about 6 hours in the app
Ends with
A measured automation in your own work, and an optional industry exam

This course is for you if

  • Your team spends hours on documents, spreadsheets or the same decisions made again and again
  • You want staff to use AI without leaking customer or company data

You finish with

  • An automation running in the team's own work, with the time it saves measured
  • Staff who can read AI-written scripts and queries before they run them
  • The option of an industry exam such as GitHub Copilot (GH-300), AWS Certified AI Practitioner or Microsoft Azure AI Fundamentals (AI-901)
35% building software with AI65% building software that uses AI

Month by month

Each week's work happens in the app, then your one-to-one reviews it. Open a part to see what each week covers.

  1. Month 1AI at work, safelyClassifying data; personal-data rules; reading a provider's terms; prompts for real tasks; repositories and pull requests
  2. Month 2Python with an AI assistantScripts for files, spreadsheets and text; tests; reading AI code before running it
  3. Month 3SQL and dataJoins, aggregation, checking AI-written SQL

  1. Month 4Workflow automationTriggers, actions, branches, error handling, a person approving each step that matters
  2. Month 5Language models inside workflowsExtraction and classification with typed output; validation; cost per item
  3. Month 6Evals and qualityTest sets from real cases; metrics; agreement with human labels; monitoring

  1. Month 7Retrieval over company documentsChunking, access control, citations, keeping content current
  2. Month 8Agents and MCPTools, permissions, audit logs, a person approving actions
  3. Month 9Agents in a team's codebaseAgents on a branch, reviewing their diffs as a team, continuous integration, secure coding

  1. Month 10Security and governancePrompt injection, data leaks, vendor and model risk, Malaysia's AI governance guidance
  2. Month 11Deploy and operateScheduling, logging, cost dashboards, runbooks
  3. Month 12Results and handoverMeasuring results; presenting to managers

Ask about Work

Tell us who the course is for and which one you are looking at. We will reply with the dates and fees.

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