Training area

AI & Automation

Using AI properly, carefully and well at work: research, drafting, analysis, verification and simple automation of repetitive tasks.

Area status: Building nowStarter → Proficient

Being written and built now. Not open to learners yet.

At a glance

  • 3 training programmes
  • Levels: Starter → Proficient
  • Used in 20 seed pathways
  • 13 skills

Training in this area

3 training programmes

Each programme shows its own status. Planned modules are an outline and may change before they are built and reviewed.

Status: Building nowStart here

AI for Work

Use AI tools at work with good judgement: ask better questions, check what comes back and protect people's data.

  • Level range: Capable → Proficient
  • 20 related pathways
  • About 12 hours (estimate)

Units

  1. What AI Is — and Is Not
  2. How to Ask Better Questions
  3. Drafting and Rewriting
  4. Summarising
  5. Research with AI
  6. Verifying AI Output
  7. Fabricated Claims and Hallucinations
  8. AI and Workplace Privacy
  9. AI with Spreadsheets and Structured Data
  10. Responsible Use at Work
  11. AI for Work Project 1 — Verified Research Brief (reviewed practical assessment)
  12. AI for Work Project 2 — Analysis and Recommendation (reviewed practical assessment)

What you’ll practise

  • Writing clear prompts with context
  • Checking AI output against sources
  • Removing confidential details before using AI
  • Writing an evidence-based recommendation

Skills

  • Understanding what AI can and cannot do
  • Asking AI clear, effective questions
  • Drafting and rewriting with AI
  • Summarising with AI
  • Researching with AI support
  • Verifying AI output
  • Spotting fabricated claims
  • Protecting data when using AI
  • Using AI with structured data
  • Writing evidence-based recommendations
  • Using AI responsibly at work

Best after: Digital Foundations

Status: Planned

AI for Small Business

Use AI to save time on everyday business tasks, from customer messages and quotes to market research, while checking everything before you use it.

  • Level range: Starter → Capable
  • No related pathway yet

Planned modules

  1. Where AI helps a small business
  2. Drafting customer messages and quotes
  3. Researching suppliers and markets
  4. Checking numbers and claims
  5. Keeping customer data private

What you’ll practise

  • Drafting and correcting a customer quote with AI
  • Checking an AI market summary against sources

Skills

  • Asking AI clear, effective questions
  • Verifying AI output
  • Protecting data when using AI
  • Using AI for business tasks

Best after: Digital Foundations

Status: Coming later

Workflow Automation Basics

Spot repetitive work and automate it safely with templates, forms, spreadsheet rules and no-code tools, keeping a person in control.

  • Level range: Capable → Proficient
  • No related pathway yet

Planned modules

  1. Spotting repetitive work
  2. Templates and forms
  3. Spreadsheet rules
  4. No-code automation tools
  5. Testing and keeping a human in the loop

What you’ll practise

  • Mapping a repetitive task
  • Designing a simple automation and its checks

Skills

  • Simple workflow automation
  • Using AI responsibly at work

Best after: AI for Work, Spreadsheet Foundations

Also relevant

These programmes belong to another area but are useful here. They are taught once, in one place.

Status: Planned

Technology Decisions for Leaders

Understand technology and AI well enough to evaluate options, manage risk and lead change responsibly.

Planned modules

  1. Technology and AI in plain language
  2. Evaluating options and vendors
  3. Risk, privacy and security
  4. Leading change

What you’ll practise

  • Evaluating two technology proposals
  • Planning a responsible AI pilot

Skills

  • Technology decisions
  • Using AI responsibly at work

Best after: AI for Work

Status: Coming later

AI for Educators

Use AI responsibly for planning, materials and feedback while protecting learners and keeping assessment honest.

Planned modules

  1. What AI means for teaching
  2. Planning and materials with AI
  3. Feedback and marking support
  4. Academic integrity
  5. Protecting learner data

What you’ll practise

  • Checking an AI-generated worksheet
  • Redesigning a task for the age of AI

Skills

  • AI for teaching
  • Academic integrity
  • Verifying AI output

Best after: AI for Work

Status: Coming later

AI-Assisted Development

Use AI coding assistants productively while reviewing, testing and staying responsible for the code you ship.

Planned modules

  1. What coding assistants do well and badly
  2. Prompting for code
  3. Reviewing and testing AI code
  4. Security and licensing risks

What you’ll practise

  • Reviewing and fixing AI-generated code
  • Writing tests for AI-written functions

Skills

  • AI-assisted development
  • Testing code
  • Verifying AI output

Best after: Programming Foundations, AI for Work

Status: Coming later

AI-Assisted Marketing

Plan and draft marketing content with AI, then check claims, tone and results before anything is published.

Planned modules

  1. Planning content with AI
  2. Drafting and editing posts
  3. Checking claims and tone
  4. Measuring what works

What you’ll practise

  • Correcting an AI-drafted post
  • Comparing two campaigns

Skills

  • Social media for business
  • Drafting and rewriting with AI
  • Verifying AI output

Best after: Digital Marketing Basics, AI for Work

Who it’s for

Professions, goals and skill families

Before you start: some programmes here build on Digital Foundations, Office & Administration.

Current availability

Building now

  • Building nowBeing written and built now. Not open to learners yet. 1 training programmes
  • PlannedDesigned and scheduled, not yet being built. 1 training programmes
  • Coming laterOn the roadmap for a later stage. 1 training programmes

Nothing is shown as available before it has been reviewed and approved for learners. See all training.

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