
Introduction to AI Act
Understand how the AI Act addresses transparency and disclosure. Learn when AI must be identified, how humans interact with AI, and why trust matters.
See how AI and GDPR connect. Explore core data protection principles, responsibilities, and practical compliance steps for AI systems.
Learn why human oversight is essential in AI. Explore different models of control, what the law requires, and how to keep AI accountable in practice.
Go beyond compliance to ethics. Understand AI’s risks, bias challenges, and the steps organizations can take to build fair and trustworthy AI systems.
Develop hands-on skills with AI prompts. Learn techniques for clarity, accuracy, and safe use of AI tools in real workplace situations.
This course contains the use of artificial intelligence.
Artificial Intelligence is transforming how we live and work. From voice assistants and chatbots to credit scoring and predictive maintenance, AI is already embedded in our daily routines and business operations. Yet with rapid adoption comes the need for oversight, which is why the EU AI Act was introduced as the world’s first comprehensive legal framework for Artificial Intelligence. This course provides you with the essential knowledge to understand AI, recognize its uses, and navigate its regulation with confidence.
You will start by exploring the foundations of AI—what it is, the different types of AI systems, and practical examples across industries. We then move into the EU AI Act, where you’ll learn its objectives, scope, and risk-based classification system. By understanding these principles, you will see how the Act directly impacts organizations, developers, and users of AI.
Next, the course dives into key areas of compliance and governance, including transparency requirements, human oversight, and the relationship between AI and GDPR. You’ll examine challenges such as bias, fairness, and accountability, while also gaining insights into how to build trust and align AI strategies with ethical business practices.
Finally, you will gain practical skills in prompt engineering, learning how to design clear, effective prompts for AI tools. These hands-on techniques will help you apply AI responsibly in real workplace situations. By the end of this course, you will be able to identify AI systems, classify them by risk, and apply both regulatory and ethical principles to ensure safe, transparent, and trustworthiness.