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Future of My Job

AI skills for beginners. Start with something you can check.

Seven small practice sessions. Fictional inputs, useful prompts and answers you can inspect. No coding or AI subscription needed.

Free practice · Start at your own pace · No account required

One skill you can try right here
The fictional source
The workshop is on Wednesday, 14:00–14:45, in Room B.
The practice draft
Join us on Thursday at 15:00 in Room D.

A smooth sentence changed three facts. Checking the source is part of the skill.

Seven sessions. One checkable work sample.

Allow about 10 minutes for each session, or take longer. Start anywhere and return to the parts you need. Every brief and draft is invented for practice; none is output from a live AI tool.

0 of 7 marked practiced. Marks stay in this page and reset when you reload.

1. Choose an input you can use

Practice deciding what belongs in a learning exercise before opening an AI tool.

Your fictional source

  • Option A: the invented workshop brief supplied on this page.
  • Option B: an actual staff contact export with names removed but job titles and personal notes retained. This is a description only; no real record is supplied.
  • You have not checked your employer’s tool or data rules.

Try it yourself

Choose a practice input. Explain why the other option needs a permission check.

Practice draft to question

Use Option B. Removing names makes the staff export safe to paste into any AI tool.
Show a checked answer and why it works

Use Option A for this exercise. Removing names does not establish permission to share a real record. Check your employer’s approved tools and data rules before using workplace information.

  • The invented brief is enough to practice; no staff export is needed.
  • Job titles and personal notes may still reveal information about a person or the organization.
  • A tool being available does not mean your employer has approved that use.

Keep: An input rule: use supplied fiction for practice; check permission before using real workplace information.

A personal note, not an assessment of proficiency.

Keep the whole practice plan

Copy all seven sessions, including the fictional sources, answer checks and your practice marks. No account or email is needed.

You can also select and copy the text manually below.

Select the complete plan

Give the skill a place in your work.

A checked practice sample gives you something to build on. Choose one task, keep its review step and see what you need to learn next.

Plan my next practice

Before you begin

Do I need coding skills or an AI account?

No. These exercises use ordinary language and supplied drafts, so you can practice on this page or in your notes. Using an approved AI tool is an optional extra. Developing AI software is a different learning path.

Can I learn this on my own?

You can work through these examples independently and compare your answers with the checks. Seven sessions are a suggested starting point, not proof of proficiency. For an actual work task, get suitable review and follow your employer’s tool and data rules.

Do I have to finish in seven days?

No. Each session has a suggested 10-minute allowance, not a deadline or a measured completion time. Repeat, split or spread them out. Copy the plan if you want to continue later; the practice marks reset when this page reloads.

Will I earn a certificate or protect my job?

No certificate is issued. This is free practice with fictional material, not an accredited course, a skills test or a guarantee about your career. Keep a modest record of what you tried, checked and still need to learn.

Sources and further learning

The sources support clear instructions, verification and responsible use. The practice material and seven-session sequence are our own teaching examples, with no measured learning or career outcome.

  • Skills England: AI foundation skills for work benchmark

    Published 28 January 2026

    Guidance for England that includes clear instructions, routine use, adjusting tools and responsible checking. These original sessions introduce some of those ideas; they are not an accredited course or a complete assessment of the benchmark.

  • NIST: Generative Artificial Intelligence Profile (AI 600-1)

    Published 26 July 2024

    Explains risks including confidently false output and data privacy, and recommends verifying sources. It supports the checking habits here, not a claim about the accuracy of any particular AI tool.

For more structured reading, try Microsoft Learn’s introduction to generative AI. It includes critical thinking and product-specific examples. The lessons are publicly readable; recorded assessment credit requires sign-in.

By Future of My Job, with AI assistance. Published and sources checked .

Not sure which part of your work to start with?

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