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Free AI literacy training plan for the EU AI Act

Training by group of people, from general users to operators of high-risk systems, with the records that show what was done.

  • AI governance
  • RAIF · domain 5
  • Free, no sign-up
  • PNG · PDF · Markdown · CSV · DOCX

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Example with fictional data

See what the result looks like: AI literacy training plan

A made-up case, in the same format the tool delivers. Nothing you have filled in changes.

Organisation

1 of 4

Appears in the title of the plan.

The AI literacy duty applies to providers and to deployers of AI systems.

The preview appears here

Start with the first field and watch the result take shape on this side. To see the finished version first, open the example.

Educational tool: the result is a starting point and is not legal advice. Check the rules currently in force and validate it with whoever is responsible for compliance in your organisation.

Nothing you type is saved on our server: your work stays in the page address and in this browser. Do not paste confidential data or personal data about customers.

AI literacy is the set of skills, knowledge and understanding that lets people use AI systems while aware of the opportunities, risks and possible harms. Article 4 of the EU AI Act asks providers and deployers to take measures to ensure a sufficient level of AI literacy among staff dealing with AI. This plan organises those measures by role and keeps the evidence.

How to use

  1. Enter the organisation, its role under the EU AI Act and the plan horizon.
  2. List the groups of people with an approximate headcount and their AI exposure.
  3. List the AI systems in use, which feed the practical content.
  4. Choose the formats and the evidence to keep.
  5. Review topics, hours and timeline, then export the plan and the evidence register.

What each field asks for

FieldWhat to enter
Organisation nameAppears in the title of the plan.
Role of the organisation under the EU AI ActThe AI literacy duty applies to providers and to deployers of AI systems.
Plan horizonChoose the horizon
GroupE.g. customer service centre
PeopleApproximate number of people in the group.
AI exposureHow the group uses, builds or decides on AI.
AI systems in useDescribe them by type; they feed the practical content of the training.
Preferred formatsHow the training will be delivered.
Evidence to keepWhat shows that each person has been trained.

Example

Lumen Logistics, a fictional company that deploys third-party AI systems, builds a 6-month plan for five groups and 200 people. The tool calculates 550 person-hours: 2 hours for office staff, 4 for the customer service centre, 8 for the data team, 3 for the executive committee and 8 for the recruitment team using automated CV screening, a high-risk use that gets the full module in months 1 to 2. The plan ends with an evidence register per group.

When to use

  • When organising the AI literacy measures the EU AI Act asks of providers and deployers.
  • Before rolling out a generative AI tool to the whole organisation.
  • When a high-risk system goes live and people need to oversee it.

Frequently asked questions

What does the EU AI Act require on AI literacy?

Article 4 asks providers and deployers to take measures to ensure, to their best extent, a sufficient level of AI literacy among staff dealing with AI systems. The level depends on technical knowledge, experience, the context of use and the people affected. Check the current text and timeline.

Does everyone need the same training?

No. The duty is proportionate to the role. Someone who only uses a writing assistant needs a short foundation; someone who builds models or operates a high-risk system needs longer modules covering human oversight and monitoring.

How do I demonstrate AI literacy?

By keeping evidence per person and per group: attendance, knowledge assessments, policy attestations and certificates. The plan produces the evidence register to fill in as training is delivered.

Does the RAIF certification satisfy Article 4?

RAIF (Responsible AI Foundation), the DPCert entry-level certification, can serve as documented evidence of baseline AI literacy. It does not satisfy the obligation on its own: the measures depend on each person’s role and the systems they use.

Which DPCert certification covers this topic?

Responsible use of AI at work is assessed in RAIF (Responsible AI Foundation). Culture, training and change are part of RAIL (Responsible AI Leader), aimed at people who build the AI governance programme.

Is this plan legal advice?

No. The tool is educational and produces a starting point with simple workload rules by role. Adapt it to your context and validate it with your legal and compliance teams.