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AI training for schools; AI training course for educators
AI training for teachers
AI training for teachers is in-school, practical training that helps teaching and support staff use generative AI tools on their real planning, resourcing and admin work, while keeping pupil data, safeguarding and assessment integrity intact.
predeploy runs it for schools and trusts as workshops and short programmes built around the tools your setting has already approved. It is about training people, not training models on pupil work.
Leave with agreed classroom and admin use cases, the checks staff run before using an output, and a clear rule set for pupil data and assessed work.
BBC reporting describes the UK rollout of workplace AI courses. BBC: workplace AI training ↗
DfE (updated 12 August 2025, England) says generative AI can reduce some administrative burdens for the education workforce, evidence on pupil use is still emerging, schools should take reasonable steps to prevent AI malpractice in assessments and refers to JCQ guidance, and schools should be transparent and seek agreement when pupil data is processed by AI tools. DfE: Generative artificial intelligence (AI) in education ↗
New to the topic? Read the background on artificial intelligence.
AI training for schools; AI training course for educators
what does AI training for teachers actually cover?
It covers the tasks staff already do, the tools the school has approved and the checks that keep outputs safe.
A typical session starts with the work in front of staff: lesson planning, adapting resources for different reading levels, drafting parent letters, summarising policy documents and producing first-draft quiz questions.
The Department for Education's guidance on generative AI in education says generative AI can help the education workforce by reducing some administrative burdens, and that evidence on pupils using it themselves is still emerging. AI training for teachers therefore focuses on staff use first.
Each use case is paired with a verification habit: checking facts against the curriculum source, reading every sentence before it reaches a pupil or parent, and noting where the tool was used.
Tool settings are covered in the same session, so staff know which account to use, what the school's licence keeps private and which features are switched off.
Planning, resourcing and admin drafts.
A verification habit for each use case.
Approved tools and settings only.
AI training for schools; AI training course for educators
how should schools handle pupil data in AI tools?
Treat pupil information as personal data by default and only use tools the school has assessed.
The DfE guidance asks schools and colleges to be open and transparent about automated decision-making and profiling, to make sure pupils and parents understand when personal data is processed using AI tools, and to seek agreement to use data in an AI tool.
The DfE's data protection in schools guidance says all staff have a responsibility to protect personal data and should follow school policy or ask their line manager or data protection officer when unsure.
The ICO's guidance on AI and data protection sets out the wider principles; the ICO notes it is under review following the Data (Use and Access) Act.
In practice, AI training for teachers teaches staff to strip names and identifying details, avoid pasting special category information such as SEND or safeguarding notes, and route any new tool through the DPO first.
AI training for schools; AI training course for educators
what are the rules on AI in assessments and coursework?
Follow the JCQ guidance on AI use in assessments and the school's own malpractice procedures.
The DfE guidance states that schools, colleges and awarding organisations need to continue taking reasonable steps to prevent malpractice involving generative AI.
It points to the Joint Council for Qualifications guidance on AI use in assessments, which covers what counts as AI misuse, requirements on teachers and exam centres to prevent and detect it, AI use in marking and a list of AI tools including detection tools.
In a session we work from the current JCQ document your exams officer holds, so staff apply the rules as written rather than a summary.
We also cover intellectual property: the DfE notes that pupil and teacher work may well be copyright material, and that copyright compliance is separate from data protection consent.
| Check | What to establish |
|---|---|
| 1 | Use the current JCQ document. |
| 2 | Agree how AI use is declared. |
| 3 | Treat pupil work as potentially copyright. |
AI training for schools; AI training course for educators
how is the training run in a school or trust?
As INSET workshops, a short programme across a term, or follow-up clinics.
Most schools start with a single INSET workshop for all staff, then a smaller group of early adopters who test use cases across a half-term.
Trusts often want a consistent baseline across schools, so we run the same core session in each setting and adapt the examples by phase and subject.
Follow-up clinics let staff bring real work, ask about edge cases and update the shared list of approved uses. See AI training for teams for how we structure group programmes.
AI training for teachers works best alongside the school's existing digital and safeguarding leads, who own the policy decisions.
AI training for schools; AI training course for educators
how does this compare with the free DfE materials?
The free materials build general knowledge; in-school sessions apply it to your tools, policies and timetable.
The DfE publishes free support materials for using AI in education settings, developed by the Chiltern Learning Trust and the Chartered College of Teaching, with modules for all staff and a separate set for leaders.
The DfE says module 3, on safe use, should be used regardless of experience because it contains important safety considerations. We recommend staff complete it.
In-school sessions add what generic modules cannot: your approved tools, your data protection rules, your subject examples and time to practise on real tasks.
If the free modules meet your needs, use them. Bring us in when you want the knowledge turned into agreed practice.
Complete DfE module 3 first.
Use in-school time for practice.
Keep a shared list of approved uses.
AI training for schools; AI training course for educators
what does predeploy not do in AI training for teachers?
We do not certify staff, promise workload reductions or set school policy for you.
predeploy does not issue accredited qualifications, does not promise time savings or exam outcomes, and does not train AI models on your data; the training is for people.
The Chartered College of Teaching offers a certification assessment linked to the DfE materials; we do not offer an equivalent and will not imply one.
Acas advice on AI at work recommends consulting staff and their representatives before introducing AI. Policy decisions sit with leaders and governors; we can help draft from the AI policy template, but the school adopts and owns it.
If your team wants foundations before role-specific work, start with AI literacy training.
No certification or accreditation.
No promised workload savings.
Leaders own the policy.
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Choose a task connected to ai training for teachers and enter its current workload. This gives you a baseline to discuss before buying training or commissioning a build.
A baseline is useful even if you decide to keep the process manual. Measure the work that matters, then compare quality and review effort as well as time.
Assess the workflow before changing it, or plan business AI training if the gap is how people use existing tools.
Your current workload
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Where should you go next?
Use the overview for context, then follow the pages that match your delivery decision.
See our ai training service or read the ai training for teams overview.
FAQ
Questions, answered
Evidence and further reading
Which sources support the guidance?
Source links support the specific background described here. The practical checklists and illustrative examples are predeploy’s guidance.
BBC reporting describes the UK rollout of workplace AI courses. BBC: workplace AI training ↗
DfE (updated 12 August 2025, England) says generative AI can reduce some administrative burdens for the education workforce, evidence on pupil use is still emerging, schools should take reasonable steps to prevent AI malpractice in assessments and refers to JCQ guidance, and schools should be transparent and seek agreement when pupil data is processed by AI tools. DfE: Generative artificial intelligence (AI) in education ↗
Free support materials for school and college staff, developed by the Chiltern Learning Trust and Chartered College of Teaching; module 3 on safe use should be used regardless of experience; leaders' materials included; updated 19 May 2026. DfE: Using AI in education settings: support materials ↗
All school staff have a responsibility to protect personal data and should follow school policy or ask their line manager or DPO when unsure. DfE: Data protection in schools ↗
ICO guidance covers AI accountability, transparency and fairness; the guidance is currently under review. ICO: AI and data protection guidance ↗
Acas advises clear AI policies, consulting workers and representatives, checking outputs for accuracy, tone and bias, and care entering business-sensitive or personal information into public tools. Acas: One third of employers think AI will increase productivity ↗
Background reading on the broader field of artificial intelligence. Wikipedia: artificial intelligence ↗
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