Overview
CONTINUING PROFESSIONAL DEVELOPMENT · ENGLAND AND WALES AI Office Skills and Administration Level 3 A twelve-module programme for administrators, coordinators and business support staff already working in the field — what you’re allowed to put in, how you verify what …
Course Details
AI Office Skills and Administration
A twelve-module programme for administrators, coordinators and business support staff already working in the field — what you’re allowed to put in, how you verify what comes out, and what record you leave behind.
PPT Deck
Video Lesson
Audio Podcast
Audio Quiz
Infographic
Overview
Most AI training for office staff teaches the buttons. This course assumes you can already find the buttons and concentrates on the three things that actually determine whether AI-assisted administration is safe: what you are allowed to put into these tools, how you verify what comes out, and what record you leave behind.
Module one establishes what the tools are and what a language model is actually doing. Module two sets out the UK regulatory position, which surprises most people: there is no UK AI Act, and the duties come from data protection law, sector regulators and general law that already applied. Modules three to seven cover the daily work — data protection at the prompt box, prompting technique, written communication, spreadsheets and documents, and meetings and transcription. Modules eight to eleven cover the professional core: verification and accountability, bias and accessibility, security and fraud, and records and automated decisions. Module twelve deals with how the role is changing and how to look after yourself and colleagues while it does.
Who this course is for
Assumes you are already working and already using at least one AI tool, whether or not your organisation formally approved it. Not a technical course — it will not qualify anyone as a data protection officer, an AI governance specialist or a legal adviser.
Learning outcomes
On completion of all twelve modules and the assessment, you should be able to:
Distinguish standalone assistants, embedded features and automation, and explain why they carry different risks.
Explain in plain terms what a language model is doing, and why fluent output tells you nothing about accuracy.
Describe how AI is regulated in the UK without a dedicated statute, and identify which regulator is likely to cover a given use.
Explain what section 80 of the Data (Use and Access) Act 2025 changed for solely automated decisions from 5 February 2026.
Recognise when the EU AI Act may reach a UK organisation and escalate rather than resolving it at a desk.
Apply the UK data protection principles to the act of writing a prompt, and classify information before it goes near a tool.
Construct prompts using role, task, context and format, and build a reusable prompt library without storing personal data in it.
Decide whether a document should be AI-drafted, AI-edited or written from scratch, and name the categories that should not be AI-drafted at all.
Verify an AI-generated formula, and explain why a total produced by a tool may never have been calculated.
State the data protection requirements for recording meetings, and convert a transcript into minutes that are accurate and usable.
Apply a proportionate verification routine, and state where professional accountability for AI-assisted work sits.
Identify where bias enters an AI-assisted process and apply the Equality Act 2010 duties to it.
Recognise AI-enabled social engineering, verify out of band, and report promptly.
Record AI use proportionately, determine whether a decision is solely automated, and respond when AI material falls within a subject access request.
Career path
AI capability in administration is currently a differentiator rather than a job title. It appears in person specifications and is asked about at interview, but it is not yet a recognised occupational route on its own.
Course structure
AI in the Modern Office
The UK Regulatory Frame
Data Protection and What You Must Not Paste
Prompting for Usable Output
AI for Written Business Communication
Documents, Spreadsheets and Data
Meetings, Transcription and Note-Taking
Verification and Professional Accountability
Bias, Fairness and Accessibility
AI, Security and Fraud in the Office
Records, Audit Trails and Automated Decisions
Working Alongside AI
Frequently asked questions
Q. Is this an accredited qualification?
No. It is CPD. No accrediting body is named because none has been secured, and “Level 3” describes the depth of the material, not a place on the Regulated Qualifications Framework.
Q. Does “Level 3” mean equivalent to an A level or NVQ Level 3?
No. It describes depth and assumed prior experience, used the way many CPD providers use it. It has not been benchmarked against the RQF and carries no formal level.
Q. How many CPD points or hours is it worth?
No point value is stated. Point values are assigned by accrediting bodies and professional regulators, and they differ between them — ask how your body treats self-directed learning.
Q. Is the legal content up to date?
It was accurate when written, and it names its sources. This is the fastest-moving area covered by any CPD course — Article 22 of the UK GDPR was replaced outright in February 2026. Re-check before every delivery.
Q. Does it teach a specific tool?
No, deliberately — product interfaces change every few months. The course teaches transferable practice: classification, prompting, verification, records, and links to vendor documentation for tool-specific steps.
Q. Does it cover Scotland or Northern Ireland?
Partly. Data protection material is UK-wide. The Equality Act content covers England, Wales and Scotland but not Northern Ireland, which has its own framework.
Q. Will this qualify me to advise on AI compliance or data protection?
No. It teaches an administrator to recognise when something needs escalating and to whom. It does not qualify anyone as a DPO, an AI governance specialist or a legal adviser.
Q. My organisation has banned AI tools. Is this course still useful?
Yes, arguably more so. Shadow AI is common precisely where policy is restrictive, and Modules 3 and 10 deal with it directly.





