Classify Any AI System Under the EU AI Act: Practical Guide

Learn a simple, audit-ready framework to classify AI systems into risk levels (High-Risk, Prohibited, Limited)

What you’ll learn
✓ Classify any AI system under the EU AI Act with confidence
✓ Understand the 4 risk levels and how they apply in practice
✓ Identify prohibited AI practices and red flags
✓ Determine whether a system is high-risk using real criteria
✓ Recognize when transparency obligations apply (chatbots, deepfakes)
✓ Apply a step-by-step classification framework used in real audits
✓ Practice classification through real-world case studies

Requirements
● No technical background required — this course is built for non-engineers
● Basic familiarity with risk, audit, or compliance concepts is helpful but not mandatory
● A willingness to think like an auditor: evidence-based, systematic, and documented

Description
This course contains the use of artificial intelligence.

The EU AI Act introduces a structured, risk-based approach to regulating artificial intelligence systems, but most professionals struggle with one fundamental challenge: how to correctly classify an AI system. Without proper classification, it is impossible to determine applicable obligations, implement the right controls, or ensure compliance.

This course provides a clear and practical solution. It is designed to help you classify any AI system under the EU AI Act using a simple, step-by-step framework. Instead of focusing on legal theory, the course emphasizes decision-making and real-world application. You will learn how to break down an AI system, understand its context of use, and assign the correct risk level with confidence.

The training covers the four risk categories defined by the regulation, including prohibited practices, high-risk systems, and transparency obligations. You will then apply a structured six-step classification method that mirrors how assessments are conducted in practice. Each step is explained in a straightforward way, allowing you to build a repeatable approach that can be used across different industries and use cases.

To reinforce learning, the course includes multiple case studies such as AI recruitment tools, customer-facing chatbots, and fraud detection systems. You will also complete a hands-on classification exercise, giving you the opportunity to apply the framework independently.

By the end of the course, you will be able to classify AI systems accurately, justify your decisions, and approach AI regulation with the mindset of a practitioner rather than a theorist.

Who this course is for
■ Internal auditors and audit managers who need to assess AI systems under the EU AI Act
■ Compliance officers and DPOs responsible for AI governance in regulated industries
■ Risk managers who need to classify and document AI systems for regulatory purposes
■ Legal and procurement professionals evaluating AI vendors and third-party systems

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