How generative AI works: Essentials for every employee
A ready-made course you customise for your organisation, with a live session deck and two surveys. You only add the 7 details that are specific to your organisation.
- Length
- 30 min
- Lessons
- 6 lessons
- Frequency
- At AI tool roll-out, at onboarding
- Last reviewed
- 21 Oct 2026
A colleague pastes a 40-page report and asks for "the key risks"
Try it: this is one of 20 interactive activities in the course.
What's included
Three pieces that work together
Copy once, get everything. Learners prepare on their own, you answer questions live, and the surveys tell you what stuck.
Self-paced course
Short lessons with real workplace scenarios, not walls of text.
- 6 lessons, about 30 minutes
- Flashcards, tabs, sorting activity, scenario and quizzes
Live session deck
An AhaSlides presentation to run after the course, in person or online.
- 10 slides
- Poll, quiz, word cloud, scale slides
- A closing slide for your contacts
Two surveys
Find out what landed, and whether people use it on the job.
- Post-course feedback, about 2 minutes
- 30-day check-in
- Anonymous by default
- Results feed your next refresher
Learning objectives
At the end of this course, learners can
Each objective and the lesson that covers it.
| ID | Objective | Source | Where it's covered |
|---|---|---|---|
| TO 101.0 | Achieve ≥ 80% on the final assessment | - | Whole course |
| SO 101.1 | Explain in plain words what AI, machine learning, generative AI and an LLM are and how they differ | ISO/IEC 22989:2022 terminology (see verification list) | Whole course |
| SO 101.2 | Describe how an LLM produces text (tokens, next-word prediction, context window) and why that causes limits | NIST AI 600-1 GenAI Profile; best practice | Whole course |
| SO 101.3 | Recognise everyday and workplace examples of AI and what each is good and bad at | Best practice | Whole course |
| SO 101.4 | Separate common AI myths from reality (memory, understanding, numbers, internet access) | NIST AI 600-1 GenAI Profile | Whole course |
| SO 101.5 | Identify where to go next in the organisation's AI policy and training path + your info | Organisation's AI policy; EU AI Act Art. 4 (as amended) where it applies | Whole course |
Your part: what a template can't do for you
- Your workplace details: fill in the 7 highlighted fields so the course describes your own policies, contacts and locations.
- Records: record completion in your own LMS or record system.
Course outline
6 lessons, about 30 minutes
Minutes per lesson are an estimate, shared out by page count.
1Why two colleagues get opposite AI results
3 pages
6 min
Why two colleagues get opposite AI results
3 pages
2AI, machine learning and generative AI explained
3 pages
5 min
AI, machine learning and generative AI explained
3 pages
3How an LLM turns a prompt into text
3 pages
5 min
How an LLM turns a prompt into text
3 pages
4Tokens, context windows and temperature in practice
3 pages
5 min
Tokens, context windows and temperature in practice
3 pages
5Memory, numbers and outdated facts: myths versus reality
3 pages
5 min
Memory, numbers and outdated facts: myths versus reality
3 pages
6Using approved AI tools and knowing who to ask
2 pages
4 min
Using approved AI tools and knowing who to ask
2 pages
Live deck and surveys
10 slides to run live, two surveys to close the loop
Pink slides are interactive. Both surveys are anonymous; pink questions are written for this course.
Post-course feedback: 11 questions, about 2 min
- Overall rating 5 stars
- Relevant, realistic, right length, helpful activities agree/disagree grid
- What was most useful? multi-select
- Confidence before this course, and now 1-5 scale
- Which concept is still unclear? multiple choice
- How confident are you explaining generative AI to a colleague? 1-5 scale
- Which course should come next? ranking
- I feel safe asking a question about AI that sounds basic. 1-5 scale
- One thing we should change or add open text
- Would you recommend this course? NPS
30-day check-in
- Have you used what you learned since the course? multiple choice
- How confident are you today? Compare with day 1 1-5 scale
- Do you know where to find the AI policy and the approved tools list? yes / no / not sure
- A moment where the training helped, or where you weren't sure open text
- Which topics should the next refresher focus on? ranking
Results show whether people use the training on the job, not just whether they finished it.
Make it yours
7 fields to fill in, and you're ready
Everything else is done. These are the details only your organisation knows; each one is highlighted inside the course.
- AI policy link
{{AI_POLICY_LINK}} - Approved AI tools
{{APPROVED_AI_TOOLS}} - AI help contact
{{AI_HELP_CONTACT}} - Next course link
{{NEXT_COURSE_LINK}} - LMS or record system
{{LMS_OR_RECORD_SYSTEM}} - Survey 1 URL
{{SURVEY_1_URL}}
Show all 7 fields
- Survey 2 URL
{{SURVEY_2_URL}}
FAQ
Common questions
Can I run how generative AI works: Essentials for every employee training online?
Yes. The course is self-paced and online, and the live deck lets you add a live session in the room or online.
How often is this training needed?
At AI tool roll-out, at onboarding, and as the first step of an AI learning path.
Who needs this training?
All staff with little or no AI background, including non-technical and frontline roles; run by L&D with IT, HR or compliance.
What records should I keep?
Record completion in your own LMS or record system, so you can show who finished the course and when.
Can I edit the content?
Yes, everything. Change the wording, swap scenarios for ones from your workplace, add your logo, or remove parts that don't apply.
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Ready to run it?
Open the live deck to see how the session runs alongside the course and both surveys.