Udemy - EU AI Act

What you'll learn
Explain the main objectives and scope of the European Union Artificial Intelligence Act
Differentiate between the various risk categories for AI systems
Summarize the key requirements for high-risk AI systems
Identify the obligations of providers, implementers and users of AI systems
Describe the governance and enforcement mechanisms of the Act
Analyze the impact of the Act on general-purpose AI models
Apply the Act's principles to real-world scenarios through case studies
Requirements
No prior knowledge on regulatory frameworks required
Description
This comprehensive course offers a structured exploration of the landmark European Union Artificial Intelligence Act. We will guide you from the foundational concepts of the regulation through its practical applications and future societal impacts. Our course begins by clearly defining the Act's purpose, scope, and key terminology. We then move into a deep, practical analysis of its core component: the innovative risk-based framework. We will explain in detail how AI systems are meticulously categorized as prohibited, high-risk, limited-risk, or minimal-risk, and what these classifications mean for you and your organization. A major portion of the course focuses on the stringent obligations for high-risk systems, from data quality and technical documentation to human oversight and cybersecurity protocols. We will define the crucial roles and responsibilities of all parties involved, including providers, implementers, and end-users. We will dedicate a separate, dedicated module to the specific rules governing general-purpose AI models and the criteria used to determine systemic impact. The course concludes with an examination of the governance structure, enforcement mechanisms, and the global effects of this groundbreaking law. By the time you finish this course, you will have a robust understanding of the Act's purpose, scope, and impact on the global technology landscape.
Who this course is for
Technology professionals, including developers and data scientists
Legal professionals and compliance officers
Business leaders and entrepreneurs
Students and academics in technology or law
Policymakers and regulators
People interested in the governance of artificial intelligence
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