AI Training Programme: Practical Content for Companies

A practical AI training program for a company can cover five useful areas: the basics of artificial intelligence, principles of safe and responsible use, internal company AI rules, personal data protection, and knowledge verification with certification. For most Lithuanian companies, this does not need to be a multi-day course - a focused programme can be planned around the team’s needs; a 2 - 3 hour session is one example to explain to each employee what can and cannot be done with AI tools and to leave a proper record that the training took place. The duty to take measures supporting AI literacy arises from Article 4 of the EU AI Act, which entered into force on 2 February 2025 regarding AI literacy, with supervision and enforcement beginning in August 2026. It applies to all companies, regardless of size.

The program must be sufficiently specific so that, after training, an employee knows what data can be input into an AI tool, when results need to be verified, and where to turn if in doubt.

What Must the AI Training Content Cover?

An effective AI training program is not a theoretical lecture about technologies - it is a practical briefing tied to the specific work that your people do every day. The EU AI Act does not require a specific number of hours, a fixed format, specific certificates, a particular document bundle, fixed training hours, an external trainer or audit, or a dedicated AI officer, but it does require that providers and deployers take measures to support the development of AI literacy among staff and relevant persons, considering their knowledge, experience, training, context, and the people who may be affected. This does not guarantee a specific or sufficient individual level.

A suggested training structure for an SME covers these areas:

These five blocks form the core of the program. For more details on the document that remains with the employee after training, see our article Employee AI Guide - this is a natural continuation of the training that employees can refer back to in their daily work.

Note that each block must be based on concrete examples from your company, not abstract rules. For example, instead of the general statement "do not enter confidential data", show a real scenario: "do not copy a client contract into ChatGPT to have it summarised". Specificity is what separates effective training from a mere checkbox exercise.

How to Adapt Content by Employee Roles?

One of the most common mistakes small companies make is training everyone the same way. A secretary using ChatGPT for emails and a developer using GitHub Copilot face different risks, so the training focus must differ.

A practical approach is to divide employees into three groups:

• Daily Users (administration, sales, marketing). Focus: fact-checking, not entering client or personal data into public tools, tone and language control. For a typical scenario, see our article Using ChatGPT in a Company.
• Specialised Users (IT, finance, analytics). Focus: code and calculation verification, intellectual property issues, responsibility for automated decisions.
• People who do not currently use AI. Basic awareness can still be useful, especially if their work is affected by AI. Article 4 concerns staff and other persons dealing with AI operation or use on the company’s behalf; it does not prescribe the same training for every role.

This segmentation does not shorten the overall program - it simply means different groups receive different examples. For more on the training organisation process, read our article AI Literacy Training for Employees.

Practical advice: before preparing the program, list which AI tools your people are already using in practice - it often turns out that more tools are used informally than management realises. This is called "shadow AI", and it poses the greatest risk precisely because it remains invisible. A training program is the best opportunity to legalise or restrict such usage by clearly stating which tools are approved and which are prohibited.

How Long Should AI Training in a Company Last?

AI training in a company does not need to be long to be effective. For an SME, it is reasonable to plan 2 - 3 hours per employee, including knowledge verification. Longer courses often lose focus, while shorter ones do not provide enough context.

A typical time allocation for the program:

1. AI Basics and Risks - about 30 - 40 minutes. Concrete examples, not theory.
2. Company Rules and Safe Usage - about 40 - 60 minutes. Here, real workplace scenarios from the company are presented.
3. Data Protection - about 20 - 30 minutes. Clear "red lines" on what never to enter.
4. Knowledge Verification - about 15 - 20 minute test.

Regularity is more important than duration. One-time training becomes outdated - AI tools change rapidly. It is recommended to review the program at least once a year or when a new AI tool is introduced in the company. A company can schedule relevant guidance for new starters before they independently use its AI tools.

How Can Knowledge Checks and Completion Certificates Help?

Knowledge checks can help identify further learning needs, and a certificate can record completion. They are useful evidence of training activities, but Article 4 does not prescribe them and they do not establish full legal compliance. The obligation is to take contextual measures supporting AI literacy, without guaranteeing a specific individual level.

For effective proof, the training system should record:

• the employee’s name and role;
• the training date and program version;
• the knowledge verification result (e.g., 8 out of 10 correct answers);
• the certificate number and issue date.

For how to objectively assess literacy levels and what metrics to track, see our article How to Measure AI Literacy. Without measurement, the program remains "blind" - you won’t know if people are truly prepared.

Certification also has a second, human benefit: it shows employees that the training was taken seriously, not just "ticked off". In a small company where everyone knows each other, this symbolic completion point helps ensure that rules are actually followed, not forgotten the next day. Tip: keep certificates and test results in the same place as other AI compliance documents - this way, everything can be found within a minute during an audit.

Common Mistakes When Creating an AI Training Program

Small companies that create programs independently often make several mistakes:

• Too much theory, not enough practice. Employees do not need to know how neural networks work - they need to know what not to enter into ChatGPT and how to verify an answer.
• No connection to company rules. Training about "AI in general" without your specific AI usage policy leaves employees without clear boundaries.
• No evidence. A chat over coffee is not documented training. Without records, you will have nothing to show during a compliance check.
• One-time approach. A program created once and never updated quickly becomes obsolete.
• New employees are forgotten. If training is conducted once for the entire team, newly hired employees later remain without any instruction - this is the most common gap in compliance verification.

You can avoid all these mistakes if, from the very beginning, you treat training as a process, not a one-time event: a clear program linked to company rules, regular updates, and mandatory instruction for every new hire.

How to Get a Full AI Training Program as Quickly as Possible

Small companies often do not want to spend weeks writing training materials and creating tests. Therefore, nebedirbam.lt automatically prepares all EU AI Act documentation for a fixed price of €149 + VAT (€299) - AI usage policy, AI tool registry, compliance record, employee AI guide, and AI literacy training with knowledge verification and certificates. All five content blocks are already included, and the process is 100% automated: fill out the questionnaire, and you receive the prepared documents.

Our templates are professionally reviewed, but each generated document must be adapted to your company’s context.

If you first want to try just the training part, you can start with free AI literacy training and later move to the full package. For more practical guides on AI literacy and compliance, see our list of all articles. The free path is for one signed-in participant; team training is included in the paid documentation package.

Brief Summary

A good AI training program for a company is short, practical, and documented. It covers AI basics, safe usage, company rules, data protection, and knowledge verification; it is tailored to employee roles; its duration suits the context; and it can include a knowledge check and completion record as evidence of the learning activity. The requirement stems from Article 4 of the EU AI Act (Regulation (EU) 2024/1689), which entered into force on 2 February 2025, with supervision and enforcement beginning in August 2026. Also note that high-risk AI systems listed in Annex III will be regulated from 2 December 2027, while high-risk AI embedded in products regulated under Annex I will be regulated from 2 August 2028. General and transparency (Article 50) rules have applied since 2 August 2026.

For the current text of Article 4 of the EU AI Act and its application dates, see the EU AI Act Service Desk and the European Commission’s Digital Strategy page.