Learning guide
Your employer is introducing AI: what should you learn first?
Start with the tools, tasks and expectations your employer is changing. You may need practical training for your existing role, rather than a new career or a broad AI qualification.
An announcement that “we are introducing AI” leaves important questions unanswered. It might mean assistance with drafting, a new analysis process or a substantial redesign of responsibilities.
Before buying training yourself, establish which situation applies.
Ask what will change in your work
Use these questions in your next discussion with your manager.
| Ask | Why the answer matters |
|---|---|
| Which tasks are expected to change? | Identifies the learning you need |
| Which tools and accounts are approved? | Prevents studying a product you cannot use |
| What training will the employer provide? | Avoids paying for overlapping material |
| Who checks AI-assisted work? | Clarifies responsibility |
| What information can be entered? | Establishes the boundaries for practice |
| How will success be assessed? | Gives you a standard beyond “use AI more” |
If the announcement also involves a restructure, ask for clear information about the proposed role changes. A course cannot resolve uncertainty about an employer’s plans.
A worked example: preparing customer responses
Imagine an employer wants staff to use AI to prepare first drafts of customer emails.
The relevant learning is more specific than “prompt engineering”. Staff need to use approved information, recognise an unsupported promise and decide when a request needs escalation.
| Stage | Practice activity | Evidence of progress |
|---|---|---|
| Understand | Read the approved workflow and tool instructions | Explain the permitted use |
| Draft | Generate responses to fictional customer questions | Produce relevant first drafts |
| Check | Compare drafts with the policy and original request | Identify errors and omissions |
| Escalate | Review a case outside the standard process | Explain why a person must intervene |
These are suggested learning activities, not measured claims about how much time AI will save.
A useful exercise includes a difficult case: a customer requesting an exception the policy does not authorise. A polished response is inadequate if it invents a commitment.
Choose training for your responsibility
If you are using a tool, begin with the employer’s training, official product material and practice with the permitted workflow.
If you are reviewing other people’s work, learn how to identify unsupported claims, unsuitable inputs and cases requiring escalation. Practise giving feedback on actual examples.
If you are managing implementation, examine workflow design, evaluation and change management. Our corporate AI training guide covers broader options.
If you are building integrations, technical training may be appropriate. Start with your programming preparation and the architecture your organisation uses.
The same introductory course is unlikely to meet all four needs.
When an additional course can help
If unfamiliar terminology prevents you from following discussions, a foundation course may be useful. Compare free Elements of AI with our Google AI Essentials assessment.
For analysts adapting their workflow, DataCamp’s AI for Data Analysts (affiliate link) is another option to assess. Its published scope concerns AI-assisted analysis, rather than general workplace change.
We may earn commission if you purchase through the DataCamp link, at no extra cost to you.
Choose additional learning only after identifying something the employer’s support does not cover.
Ask for training with a concrete proposal
You can adapt this request:
Could we agree on training for the new AI-assisted workflow? I would like to understand the approved tool, practise on non-sensitive examples and have my first outputs reviewed. I suggest starting with one task and assessing accuracy, checking time and escalation decisions before expanding use. Please confirm what training and paid learning time are available.
The request gives your manager something practical to respond to.
Measure the completed work
After a trial, record the time spent drafting, checking and correcting. Also note errors, missed exceptions and the support required.
An apparently faster draft may create more work at review. A useful evaluation considers the complete task.
Bring a short example to your manager and ask whether it meets the expected standard. Use that feedback to decide your next learning step.
Find courses relevant to your role and experience. Compare the shortlist with your employer’s tools and training arrangements before enrolling.