AI foundations
Core AI concepts, terminology and how models learn from data

Help employees use approved AI tools, check outputs, and protect sensitive information in everyday work.
Employees already choose tools, prompts, and data. Short scenarios help them practise sound judgment.
Choose suitable use cases, protect data, improve prompts, check outputs, and keep human review.
Explore adaptive practiceFor L&D, compliance, and AI governance teams in banking, aviation, healthcare, and infrastructure.
See customer resultsAvailable in 17+ languages for consistent learning across countries, sites, and shifts.
Explore integrationsSix adaptive drills cover AI basics, prompts, output checks, risks, and workplace use. Weaker topics return before knowledge fades.
Core AI concepts, terminology and how models learn from data
Writing effective prompts that produce useful, reliable AI output
Prompt engineering

You ask AI to summarise a report. What makes your prompt better?
Audience, goal, and format
Repeat the request
Remove the context
Ask for a longer answer
Generating and editing workplace video with practical AI assistants
AI video tools
You are about to publish an AI video. What should you check first?
Facts, rights, and access
Only if it looks realistic
How quickly AI made it
Only the file size
Recognising bias, managing risk and applying responsible AI governance
Using practical automation to improve everyday productivity and workflows
Creating useful text, images and code with generative AI models
Generative AI
You draft a customer update with AI. What should you do before sending it?
Facts, tone, and privacy
Send it without checking
Remove only the name
Make every claim certain
Questions about delivery, languages, customization, or updates? Talk to our team about the course and your rollout.

See the course, adaptive practice, reporting, languages, and rollout options for your LMS and policies.