AI training for companies and employees

Hands-on AI training on your people's own work. They learn to use AI safely and to good effect, and you get AI literacy records you can show under the EU AI Act.

In shortDevelogi's AI training for companies teaches employees to work with the AI tools the company has approved, such as ChatGPT, Microsoft 365 Copilot, Claude or Gemini, on their own tasks. We build the programme by role: an introductory session for everyone, workshops for sales, marketing, HR, finance or development, and a workshop for management. Every training ends with records you can show as an AI literacy measure under Article 4 of the EU AI Act. We train companies in Brno, Zlín, Prague, the whole Czech Republic and Slovakia.

Who the training is for

Every role uses AI differently, so we train around what people actually do.

  1. All employees

    Safe basics: what you may put into AI and what you may not, which tools are approved and how to check an output.

    ExampleAn introductory session on the company's own non-sensitive documents. People try their first task right away.

  2. Management

    Where AI brings the company the most, what the risks are, who is accountable and what the AI Act requires.

    ExampleA workshop on the company's real processes. The output is a list of first pilots with the benefit in hours.

  3. Sales and marketing

    Emails, proposals, meeting briefs, competitor research and content for the web and social media.

    ExampleAI turns meeting notes into a summary and a draft proposal. The salesperson checks and completes it.

  4. HR and back office

    Job ads, policies and answers to common employee questions. And where not to use AI: personal data and decisions about people.

    ExampleAn internal FAQ built from company policies that AI uses to answer questions about leave or travel expenses.

  5. Finance and controlling

    Spreadsheet analysis, report commentary and preparing materials, with an emphasis on checking the numbers.

    ExampleAI drafts the commentary on the monthly report. The controller checks the numbers against the source data.

  6. Development and IT

    AI assistants for coding, code review and testing. Connecting AI safely to company systems over MCP.

    ExampleRules for AI in the repository and code review that also checks code written with AI.

What people learn

  1. Data protection. Which data belongs in AI, which does not and why private accounts are not for company data.
  2. Approved tools. How to work with the tools the company uses and how to request a new one.
  3. Prompting. How to write a prompt with context, an example and the expected output, so AI gets it right first time.
  4. Working with documents and data. Summaries, comparisons, translation, spreadsheet analysis and preparing materials.
  5. Checking outputs. AI can make things up. People learn to verify a result before they pass it on.
  6. Shadow AI and risks. Real cases of data leaks and made-up documents, and how to prevent them.
  7. The AI Act and accountability. What the company must do, who is responsible for what and where AI is banned or strictly regulated.

How the training works

  1. 01

    Short analysis

    We find out which AI tools people already use, what they work on and what the company has approved.

  2. 02

    Tailored programme

    We prepare topics and examples by role, on your documents and in your tools.

  3. 03

    Training and workshops

    Hands-on: everyone tries a task of their own. We train at your company or online.

  4. 04

    Records and next steps

    You get records for the AI Act. AI champions stay on in the teams and keep sharing what works.

AI training and the EU AI Act

Since 2 February 2025, Article 4 of the AI Act requires every company that uses AI to support the AI literacy of the people who work with it, according to their role. No certificate is needed, but keep the measures documented. Our records contain:

  1. Who. A list of trained people and their roles.
  2. When and how much. The date, length and format of the training.
  3. What. Topics, tools used, materials and exercises.
  4. What next. A training plan for new employees and for when a new AI tool is introduced.

Also part of the recordsAn AI usage policy and a list of approved tools. Without them the training has nothing to rest on.

Want to train your people?

Tell us how many people and which roles you want to train. We will put together a tailored programme.

I want AI training

AI training FAQ

Does a company have to train employees in AI?

Yes, if it uses AI. Since 2 February 2025, Article 4 of the AI Act requires companies to support the AI literacy of the people who work with AI, according to their role and experience. No certificate is needed; keeping internal records is enough.

Do we have to train every employee?

The AI Act covers people who work with AI. Because employees often use AI on their own through private accounts, an introductory session for everyone pays off, with deeper workshops only for the roles that use AI the most.

Do we need a certificate for AI literacy?

No. The AI Act does not require a certificate. You only need to show what measures the company took: who was trained, when, to what extent and which rules apply.

Which tools do you train on?

The ones the company uses or approves, most often ChatGPT, Microsoft 365 Copilot, Claude and Gemini on business plans. Free and private accounts are not for company data, so we do not build training on them.

Is the training on site or online?

Both. We run introductory sessions and workshops at your company or online. Our offices are in Brno and Zlín and we train companies across the Czech Republic and Slovakia.

How much does AI training cost and how long does it take?

It depends on the number of people, the number of roles and the scope of the workshops. After a short analysis you get a programme with the scope, dates and price.

What if we have not approved any AI tools yet?

Then we start with an inventory of what people use and help you choose and set up company tools and a policy. Training makes sense once there are rules in place.

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