AI courses in English and Dutch, with certificate AI literacy you can evidence under the EU AI Act Invoice in your employer's name, also for teams
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AI Literacy

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AI Literacy course from LearnLLM, an 8-hour online e-learning with certificate

About Course

Almost everyone at the office now uses AI. Often without agreements, without knowing where the information comes from, and without thinking about which data ends up in such a tool. That is not only a quality risk. Since 2 February 2025, Article 4 of the EU AI Act has required organisations to take measures that support the AI literacy of everyone who works with AI. Since 27 July 2026, it has also stated explicitly that no level has to be guaranteed for each employee. The law prescribes no format, no number of hours and no certificate. What does count is that you can show what you have done.

In this AI course you build that evidence across seven modules. You learn why AI is broader than chatbots and which AI is already built into your existing software. You learn to judge for which tasks AI is and is not reliable, and you practise prompting and assessing output before you use it. Then comes the legal framework: the GDPR alongside the EU AI Act, the four risk levels, the prohibited practices, the transparency obligation, and when you need to be transparent about your use of AI. You finish with what goes wrong in practice. That includes what to do once client data ends up in the wrong tool and what shadow AI does to your agreements. You also look at who is responsible once a system starts acting on its own. In module 7 you go deeper into privacy: special categories of personal data and duties of confidentiality, your duty to inform, the record of processing activities and the DPIA, data outside the EEA, high-risk systems and security. Eight hours, including practical assignments based on your own work. Beginner level, vendor-neutral and suitable for anyone who deals with AI at work, from employees and managers to senior management. Want to go deeper into one tool afterwards? Continue with the Claude Course or the ChatGPT Course.

Each module contains course material, practical tips, a practical assignment based on your own work, transfer questions, scenario questions and a knowledge check with instant feedback. To earn the certificate, you score at least 80 percent on each knowledge check and at least 70 percent on the final test of 30 questions covering all modules. You begin with a starting scan and finish with the same topics, so your progress is measurable. In module 6 you draft an internal AI policy with input rules, review points and a reporting route. In the final assignment you combine it with the rest of your work into a dated AI work portfolio that you can present within your organisation. On completion you receive a certificate with a verification code and a learning record for your CPD file, from LearnLLM.

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What Will You Learn?

  • Why AI is broader than chatbots
  • Recognising when an AI answer has been made up
  • Judging for which tasks AI is reliable
  • Prompting with context, role, goal and format
  • Telling the GDPR and the EU AI Act apart
  • Deciding which data you never enter
  • Acting on an incident or data breach
  • Knowing when you must be transparent about your use of AI
  • Labelling AI content and handling edited images
  • Recognising shadow AI within your organisation
  • Assessing who is responsible when a system acts on its own
  • Drafting an internal AI policy
  • Recognising special categories of personal data and duties of confidentiality
  • Carrying out a DPIA screening and a transfer check for an AI application
  • Placing high-risk systems, the FRIA and the right to an explanation in context

Course Content

Module 1: What AI is, and what it is not

  • Why you start here
  • Starting scan: where you begin
  • Learning objectives
  • Lesson 1.1 – AI is more than a chatbot
  • Lesson 1.2 – The AI you already use without knowing it
  • Lesson 1.3 – How AI learns and arrives at an answer
  • Lesson 1.4 – Hallucination: what it is and why it happens
  • Lesson 1.5 – An overview of AI tools
  • Lesson 1.6 – What AI literacy means
  • Assignment 1.1
  • Transfer question Module 1
  • Scenario question Module 1
  • Module 1 summary
  • Knowledge check Module 1
  • Looking ahead

Module 2: Where AI is strong, and where it is not

Module 3: Prompting effectively and assessing output

Module 4: The legal framework: GDPR, the AI Act and transparency

Module 5: What goes wrong in practice

Module 6: Embedding AI in your organisation

Module 7: Privacy, confidentiality and high risk in practice

Completion and final test