Technology & security
AI for Work & Prompting
Use AI tools with the judgement, privacy and verification habits modern employers expect.
Use generative AI responsibly to research, write, analyse and improve everyday work.
About this course
A practical, job-focused programme for using AI tools with judgement. Learn to frame useful prompts, verify outputs, protect confidential information and build a portfolio of responsible AI-assisted work.
Career relevance
Where this can take you
Useful for administration, marketing, support, research and operations roles where AI-assisted work needs human judgement.
Portfolio project: Create a responsible AI workflow portfolio: a documented prompt, verified output, quality check and transparent handover note.
Skills you will gain
Practical skills, not just theory
What you will learn
Write structured prompts for real work tasks.
Verify AI output, sources and factual claims.
Protect privacy, confidentiality and professional boundaries.
Create an AI-assisted work portfolio you can explain honestly.
Objective map
A numbered, measurable syllabus
Every lesson, knowledge check and practical activity maps to the objectives below. Domain weights show how much of the programme each area represents.
Domain 1
AI literacy and responsible use to Research and verification
- 1.1Demonstrate ai literacy and responsible use in a realistic ai for work & prompting context: understand capabilities, limits, bias, privacy and professional responsibility.
- 1.2Explain and distinguish prompt foundations in a realistic ai for work & prompting context: turn a vague request into useful context, constraints and a clear output format.
- 1.3Analyse and evaluate research and verification in a realistic ai for work & prompting context: use AI as a starting point while checking primary sources and factual claims.
Domain 2
Writing and communication workflows to Creative work and presentation planning
- 2.1Apply and control writing and communication workflows in a realistic ai for work & prompting context: draft, edit and improve workplace messages without losing your own judgement.
- 2.2Analyse and evaluate ai for spreadsheets and analysis in a realistic ai for work & prompting context: use AI-supported reasoning for formulas, summaries and data questions carefully.
- 2.3Plan and produce creative work and presentation planning in a realistic ai for work & prompting context: generate ideas, outlines and presentation structures with purposeful review.
Domain 3
Privacy, security and sensitive information to AI quality assurance
- 3.1Demonstrate privacy, security and sensitive information in a realistic ai for work & prompting context: recognise what must never be pasted into a public AI tool.
- 3.2Explain and distinguish workflow automation concepts in a realistic ai for work & prompting context: map repeatable work and decide where human approval must remain.
- 3.3Demonstrate ai quality assurance in a realistic ai for work & prompting context: test outputs for accuracy, tone, fairness and relevance before use.
Domain 4
AI collaboration and change at work to Final AI-for-work capstone
- 4.1Complete and defend ai collaboration and change at work in a realistic ai for work & prompting context: explain AI-assisted work transparently and support colleagues responsibly.
- 4.2Complete and defend portfolio lab: responsible ai workflows in a realistic ai for work & prompting context: build documented examples of AI-assisted work with evidence and review notes.
- 4.3Complete and defend final ai-for-work capstone in a realistic ai for work & prompting context: deliver a responsible AI workflow proposal, example outputs and quality controls.
How the programme works
Learn, practise, explain and prove it
This is a long-form, eight-week guided programme rather than a stack of short articles. Each module contains six substantial lessons that move from concepts and methods into a worked case, a quality clinic, a workplace lab and assessed reflection.
1. Guided learning
Study the purpose, process, risks and professional standard through structured readings and active notes.
2. Worked cases
Compare plausible options, expose missing evidence and defend a decision under realistic constraints.
3. Quality clinics and labs
Diagnose weak work, revise it against a rubric and create portfolio evidence with a full audit trail.
4. Hard assessment
Pass applied checks and the final assessment at 85%, with no unresolved critical-error questions.
Curriculum
A complete programme, module by module
The curriculum below shows the actual learning pathway, objective and evidence for every module. Full lessons remain locked until enrolment.
Build the base
Standards, vocabulary and the core method you will use throughout the programme.
01AI literacy and responsible useUnderstand capabilities, limits, bias, privacy and professional responsibility.+
Measured objectiveDemonstrate ai literacy and responsible use in a realistic ai for work & prompting context: understand capabilities, limits, bias, privacy and professional responsibility.
Evidence you will produceA technical ai literacy and responsible use brief with requirements, safe method, sample output or architecture, validation evidence and handover notes.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
02Prompt foundationsTurn a vague request into useful context, constraints and a clear output format.+
Measured objectiveExplain and distinguish prompt foundations in a realistic ai for work & prompting context: turn a vague request into useful context, constraints and a clear output format.
Evidence you will produceA technical prompt foundations brief with requirements, safe method, sample output or architecture, validation evidence and handover notes.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
03Research and verificationUse AI as a starting point while checking primary sources and factual claims.+
Measured objectiveAnalyse and evaluate research and verification in a realistic ai for work & prompting context: use AI as a starting point while checking primary sources and factual claims.
Evidence you will produceA technical research and verification brief with requirements, safe method, sample output or architecture, validation evidence and handover notes.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
Milestone: You can explain the fundamentals and complete a first guided task.
Develop core skills
The working skills and tools of the role, practised one at a time.
04Writing and communication workflowsDraft, edit and improve workplace messages without losing your own judgement.+
Measured objectiveApply and control writing and communication workflows in a realistic ai for work & prompting context: draft, edit and improve workplace messages without losing your own judgement.
Evidence you will produceA technical writing and communication workflows brief with requirements, safe method, sample output or architecture, validation evidence and handover notes.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
05AI for spreadsheets and analysisUse AI-supported reasoning for formulas, summaries and data questions carefully.+
Measured objectiveAnalyse and evaluate ai for spreadsheets and analysis in a realistic ai for work & prompting context: use AI-supported reasoning for formulas, summaries and data questions carefully.
Evidence you will produceA checked working paper, analysis or report for ai for spreadsheets and analysis, including source data, assumptions, calculations, findings and limitations.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
06Creative work and presentation planningGenerate ideas, outlines and presentation structures with purposeful review.+
Measured objectivePlan and produce creative work and presentation planning in a realistic ai for work & prompting context: generate ideas, outlines and presentation structures with purposeful review.
Evidence you will produceA portfolio-ready creative work and presentation planning brief and artefact showing audience, rationale, accessibility check, feedback and revision.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
Milestone: You can carry out routine work independently and check it properly.
Apply it in realistic scenarios
Case studies and simulations with competing priorities and incomplete information.
07Privacy, security and sensitive informationRecognise what must never be pasted into a public AI tool.+
Measured objectiveDemonstrate privacy, security and sensitive information in a realistic ai for work & prompting context: recognise what must never be pasted into a public AI tool.
Evidence you will produceA technical privacy, security and sensitive information brief with requirements, safe method, sample output or architecture, validation evidence and handover notes.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
08Workflow automation conceptsMap repeatable work and decide where human approval must remain.+
Measured objectiveExplain and distinguish workflow automation concepts in a realistic ai for work & prompting context: map repeatable work and decide where human approval must remain.
Evidence you will produceA technical workflow automation concepts brief with requirements, safe method, sample output or architecture, validation evidence and handover notes.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
09AI quality assuranceTest outputs for accuracy, tone, fairness and relevance before use.+
Measured objectiveDemonstrate ai quality assurance in a realistic ai for work & prompting context: test outputs for accuracy, tone, fairness and relevance before use.
Evidence you will produceA technical ai quality assurance brief with requirements, safe method, sample output or architecture, validation evidence and handover notes.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
Milestone: You can make and justify decisions in realistic situations.
Prove it and plan your next step
Portfolio evidence, final review and a development plan you can show an employer.
10AI collaboration and change at workExplain AI-assisted work transparently and support colleagues responsibly.+
Measured objectiveComplete and defend ai collaboration and change at work in a realistic ai for work & prompting context: explain AI-assisted work transparently and support colleagues responsibly.
Evidence you will produceA technical ai collaboration and change at work brief with requirements, safe method, sample output or architecture, validation evidence and handover notes.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
11Portfolio lab: responsible AI workflowsBuild documented examples of AI-assisted work with evidence and review notes.+
Measured objectiveComplete and defend portfolio lab: responsible ai workflows in a realistic ai for work & prompting context: build documented examples of AI-assisted work with evidence and review notes.
Evidence you will produceA technical portfolio lab: responsible ai workflows brief with requirements, safe method, sample output or architecture, validation evidence and handover notes.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
12Final AI-for-work capstoneDeliver a responsible AI workflow proposal, example outputs and quality controls.+
Measured objectiveComplete and defend final ai-for-work capstone in a realistic ai for work & prompting context: deliver a responsible AI workflow proposal, example outputs and quality controls.
Evidence you will produceA technical final ai-for-work capstone brief with requirements, safe method, sample output or architecture, validation evidence and handover notes.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
Milestone: You have portfolio-ready evidence and a clear next step.
Suggested pace
Eight-week study plan
Plan for roughly 5–9 hours each week across readings, worked cases, practice, portfolio production and assessment remediation. Repeat a week when the knowledge checks show a gap.
Week 1
AI literacy and responsible use to Prompt foundations
- •Complete the six guided lessons for AI literacy and responsible use and Prompt foundations and build structured notes against the objective codes.
- •Analyse the worked case, compare two defensible options and submit a reasoned decision record.
- •Complete the quality clinic, correct the weak draft and document every revision against the rubric.
- •Produce the ai literacy and responsible use and prompt foundations portfolio evidence and complete the hard knowledge checks.
- •Review every incorrect answer, explain why each distractor fails and schedule targeted retrieval practice.
Checkpoint: Reach at least 85% on the week’s checks, resolve every critical error and save the reviewed portfolio evidence before continuing.
Week 2
Research and verification
- •Complete the six guided lessons for Research and verification and build structured notes against the objective codes.
- •Analyse the worked case, compare two defensible options and submit a reasoned decision record.
- •Complete the quality clinic, correct the weak draft and document every revision against the rubric.
- •Produce the research and verification portfolio evidence and complete the hard knowledge checks.
- •Review every incorrect answer, explain why each distractor fails and schedule targeted retrieval practice.
Checkpoint: Reach at least 85% on the week’s checks, resolve every critical error and save the reviewed portfolio evidence before continuing.
Week 3
Writing and communication workflows to AI for spreadsheets and analysis
- •Complete the six guided lessons for Writing and communication workflows and AI for spreadsheets and analysis and build structured notes against the objective codes.
- •Analyse the worked case, compare two defensible options and submit a reasoned decision record.
- •Complete the quality clinic, correct the weak draft and document every revision against the rubric.
- •Produce the writing and communication workflows and ai for spreadsheets and analysis portfolio evidence and complete the hard knowledge checks.
- •Review every incorrect answer, explain why each distractor fails and schedule targeted retrieval practice.
Checkpoint: Reach at least 85% on the week’s checks, resolve every critical error and save the reviewed portfolio evidence before continuing.
Week 4
Creative work and presentation planning
- •Complete the six guided lessons for Creative work and presentation planning and build structured notes against the objective codes.
- •Analyse the worked case, compare two defensible options and submit a reasoned decision record.
- •Complete the quality clinic, correct the weak draft and document every revision against the rubric.
- •Produce the creative work and presentation planning portfolio evidence and complete the hard knowledge checks.
- •Review every incorrect answer, explain why each distractor fails and schedule targeted retrieval practice.
Checkpoint: Reach at least 85% on the week’s checks, resolve every critical error and save the reviewed portfolio evidence before continuing.
Week 5
Privacy, security and sensitive information to Workflow automation concepts
- •Complete the six guided lessons for Privacy, security and sensitive information and Workflow automation concepts and build structured notes against the objective codes.
- •Analyse the worked case, compare two defensible options and submit a reasoned decision record.
- •Complete the quality clinic, correct the weak draft and document every revision against the rubric.
- •Produce the privacy, security and sensitive information and workflow automation concepts portfolio evidence and complete the hard knowledge checks.
- •Review every incorrect answer, explain why each distractor fails and schedule targeted retrieval practice.
Checkpoint: Reach at least 85% on the week’s checks, resolve every critical error and save the reviewed portfolio evidence before continuing.
Week 6
AI quality assurance
- •Complete the six guided lessons for AI quality assurance and build structured notes against the objective codes.
- •Analyse the worked case, compare two defensible options and submit a reasoned decision record.
- •Complete the quality clinic, correct the weak draft and document every revision against the rubric.
- •Produce the ai quality assurance portfolio evidence and complete the hard knowledge checks.
- •Review every incorrect answer, explain why each distractor fails and schedule targeted retrieval practice.
Checkpoint: Reach at least 85% on the week’s checks, resolve every critical error and save the reviewed portfolio evidence before continuing.
Week 7
AI collaboration and change at work to Portfolio lab: responsible AI workflows
- •Complete the six guided lessons for AI collaboration and change at work and Portfolio lab: responsible AI workflows and build structured notes against the objective codes.
- •Analyse the worked case, compare two defensible options and submit a reasoned decision record.
- •Complete the quality clinic, correct the weak draft and document every revision against the rubric.
- •Produce the ai collaboration and change at work and portfolio lab: responsible ai workflows portfolio evidence and complete the hard knowledge checks.
- •Review every incorrect answer, explain why each distractor fails and schedule targeted retrieval practice.
Checkpoint: Reach at least 85% on the week’s checks, resolve every critical error and save the reviewed portfolio evidence before continuing.
Week 8
Final AI-for-work capstone
- •Complete the six guided lessons for Final AI-for-work capstone and build structured notes against the objective codes.
- •Analyse the worked case, compare two defensible options and submit a reasoned decision record.
- •Complete the quality clinic, correct the weak draft and document every revision against the rubric.
- •Produce the final ai-for-work capstone portfolio evidence and complete the hard knowledge checks.
- •Review every incorrect answer, explain why each distractor fails and schedule targeted retrieval practice.
Checkpoint: Submit the capstone evidence pack, defend the key decision, remediate every weak objective and pass the final assessment at 85% with no critical misses.
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Assessment and certificate
A responsible-AI scenario, portfolio review and final knowledge assessment. Completion does not certify expertise in any external AI product.
Who this is for
- ✓Job seekers wanting practical AI literacy for modern roles.
- ✓Administrators, marketers and support staff improving everyday workflows.
- ✓Learners who want to use AI responsibly rather than blindly.