Overview
Your staff are using AI today. Train them to use it safely.
Most employees now use AI tools at work, and many do it without any guidance at all. That is usually not recklessness, it is enthusiasm: the tools are genuinely useful, and nobody has told them where the lines are. But every ungoverned prompt is a small gamble with confidential information, personal data and the accuracy of your work. Customer details pasted into a public chatbot may be gone for good. A confidently wrong AI answer, sent out unchecked, becomes your organisation’s mistake. And under the EU AI Act’s AI literacy provisions, organisations in scope are now expected to ensure staff using AI are trained to use it properly.
This course is the practical staff-level answer. It is built around the tasks people actually use AI for, drafting emails and documents, summarising, research, analysis, and gives clear, memorable rules for each: what makes a good and safe prompt, the categories of information that never go into an AI tool, how to fact-check output and watch for bias, and when AI should not be used at all. It also covers working within your employer’s AI policy, using approved tools, and being honest about when AI was used. Staff finish the course more capable with AI, not just more cautious.
The course is fully online and takes one to two hours, with twelve months of access from enrolment. Pass the short closing assessment and each learner’s NFAQ certified certificate is generated straight away, dated and named, ready to download and print.
What you’ll learn
What you’ll be able to do
By the end of this course you will be able to:
Explain what generative AI tools actually do, what they are good at and where they reliably fail.
Recognise hallucination, and never rely on unverified AI output for facts, figures or advice.
Apply the golden rules on data: what can go into an AI tool and what never can.
Write clear, effective prompts that get useful output without oversharing.
Check AI output properly: facts, tone, bias and fit before anything leaves your hands.
Work within your organisation’s AI policy, using approved tools and disclosing AI use honestly.
Spot the situations where AI should not be used at all.
Know who to ask, and what to report, when something goes wrong.
Course content
Five modules to work through
Five short modules ending with a 15 question assessment. Most learners complete the whole course in a single sitting.
1What AI Tools Actually DoA working understanding, in plain language, of the tool you are typing into.⌄
- How generative AI produces answers, and why it sounds confident either way
- What AI is genuinely good at: drafting, summarising, reformatting, brainstorming
- Hallucination: why AI invents facts, sources and numbers
- Bias in AI output and where it comes from
- Why the human using the tool stays responsible for the result
2What Never Goes Into an AI ToolThe data rules, and the simple test to apply before every prompt.⌄
- Personal data: customers, colleagues and anyone identifiable
- Confidential business information, client material and anything under NDA
- Passwords, keys and security details: never, in any tool
- Public tools versus approved enterprise tools: why the difference matters
- The postcard test: a one-second check before you press enter
3Getting Good, Safe OutputPrompting well, checking properly and knowing what to trust.⌄
- Writing prompts that give context and constraints without giving away data
- Iterating: treating the first answer as a draft, not a result
- Fact-checking AI output: sources, numbers, names and dates
- Reviewing for tone, bias and things the AI quietly made up
- Tasks where AI should not be used, and how to recognise them
4Your Employer’s Rules and AIWorking within the policy, and why the rules exist.⌄
- Approved tools and why “it works better” does not override the list
- Disclosure: when and how to say that AI helped produce something
- AI and your professional duties: accuracy, confidentiality and accountability
- Copyright and ownership questions around AI-generated content
- What to do if there is no policy yet: the defaults that keep you safe
5Everyday ScenariosThe course applied to the tasks your week is actually made of.⌄
- Drafting emails and documents with AI, safely and well
- Summarising meetings, reports and long threads
- Research and analysis: using AI as a starting point, not a source
- When a colleague or customer sends you AI output: your checks still apply
- Spotting and reporting AI-related incidents, from data slips to bad output in the wild
Who it’s for
Is this course a good fit?
This course is for everyone who touches AI at work, which increasingly means everyone. It assumes no technical knowledge and no prior training.
Office & administrative staff
The heaviest everyday users of AI drafting and summarising tools.
Customer service teams
Staff using AI to draft responses where accuracy and data rules bite hardest.
Marketing & content teams
Daily generative AI users balancing speed with brand and copyright risk.
Finance & professional staff
Roles where a hallucinated number or clause becomes a costly error.
Managers & team leaders
Leaders who set the tone for how their team uses AI day to day.
New starters
A ready-made induction module for AI expectations from day one.
Assessment
How it’s assessed
The course is assessed by a single online multiple choice test taken after the modules. It can be retaken as many times as you need at no extra cost.
End-of-course assessment
Study details
You can pause and resume at any point, and your progress is saved automatically. There is no time limit on the assessment itself.
Certification
Your CPD-certified certificate
Safe Use of AI at Work — CPD Certified
On passing the assessment, each learner’s NFAQ certified digital certificate is available to download and print immediately, with their name, the course title and the completion date. Across a workforce, dated certificates are practical evidence towards the AI literacy expectations now appearing in regulation and client due diligence questionnaires, and they show that your organisation trained people before something went wrong, not after. We recommend annual refresher training as tools and rules evolve.
FAQs
