Use it if you need the basics.
Learners who already use AI regularly often find the material too introductory. Beginners get more from its structured sequence and practical exercises.

Validates foundational skills in using generative AI at work, including AI basics, productivity tools, prompting and responsible use.
Work through five short courses, try the activities on real tasks and complete the assessments. The focus is using AI effectively at work, rather than building AI systems.
Example scenario: Which parts of preparing a team update could AI help with, and which facts would you check yourself?
Example scenario: Turn meeting notes into a short action list, then check the owners and deadlines against the notes.
Example scenario: Rewrite “help me with my report” as a request with an audience, source material and a specific output.
Example scenario: Before sharing an AI-generated customer email, check its facts and remove confidential information.
Example scenario: Compare two tools on the same low-risk work task and decide which result needs less revision.
Set aside a weekend or a few evenings. Spend time trying the tools and improving your prompts, rather than only watching the videos.
Most candidates spend 4–12 hours. Plan for the low end if you already use AI tools at work; allow more time if you want to try each activity on your own tasks.
Use the course activities to practise with an AI tool. Keep one example that you improve as you learn.
Use a real task. Keep a first prompt and its output, then improve them as you work through the lessons.
Apply each lesson to a small work task. Try a first prompt, inspect the output, then revise the instructions.
Complete the coursework on your own schedule.
Learners who already use AI regularly often find the material too introductory. Beginners get more from its structured sequence and practical exercises.