Master AI literacy and meet EU AI Act compliance with practical insights, risk frameworks, and governance tools.
β±οΈ Length: 7.3 total hours
β 4.25/5 rating
π₯ 3,570 students
π December 2025 update
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- Course Overview
- Legislative Foundation: Gain a comprehensive understanding of the European Union AI Actβs structural framework, focusing on how it seeks to balance technological innovation with the protection of fundamental rights and safety across all member states.
- Tiered Risk Analysis: Study the practical application of the risk-based approach, which classifies AI systems into categories such as prohibited practices, high-risk applications, and those with limited or minimal risk requirements to determine specific legal obligations.
- Governance and Oversight: Explore the institutional landscape of AI regulation, including the roles of the European AI Board, the AI Office, and national competent authorities in enforcing compliance and providing necessary implementation guidance.
- Prohibited Practices: Identify specific AI use cases that are banned under the Act, such as social scoring by governments or certain types of intrusive biometric identification, to ensure your organization avoids illegal territories.
- Transparency Mandates: Analyze the specific disclosure requirements for general-purpose AI models and systems that interact with humans, such as chatbots and deepfake generators, to maintain consumer trust and long-term legal alignment.
- Requirements / Prerequisites
- Conceptual Tech Awareness: A basic familiarity with how artificial intelligence and machine learning models function is helpful, though no prior experience in software engineering or computer programming is required for this course.
- Business Process Insight: Participants should have a general understanding of their organizationβs operational workflows to better identify where AI tools are currently being utilized or where they may be integrated in the future.
- Regulatory Interest: A keen interest in digital policy, corporate governance, or legal compliance is essential for staying engaged with the detailed regulatory requirements and ethical frameworks discussed throughout the sessions.
- Professional Background: This training is designed for professionals in legal, compliance, HR, or management roles, but it remains accessible to anyone looking to understand the future of AI regulation in Europe.
- Skills Covered / Tools Used
- Conformity Assessment Procedures: Master the steps required to conduct internal or third-party conformity assessments for high-risk AI systems, ensuring they meet essential requirements before being placed on the European market.
- Technical Documentation Drafting: Learn the specific standards for creating and maintaining technical files, including architecture diagrams, data training descriptions, and system behavior logs as mandated by the final EU AI Act text.
- Bias Detection and Mitigation: Utilize frameworks for identifying algorithmic bias and implementing corrective measures to ensure that AI decision-making processes are fair, representative, and free from any form of unlawful discrimination.
- Risk Management Systems (RMS): Develop the ability to implement a continuous risk management system that identifies, estimates, and mitigates potential risks throughout the entire lifecycle of an active AI application.
- Quality Management Frameworks: Gain experience with tools used to establish quality management systems (QMS) that align with ISO standards and the specific compliance expectations of European regulatory bodies and auditors.
- Human Oversight Mechanisms: Design and implement “Human-in-the-Loop” strategies to ensure that AI outputs are monitored and can be effectively overridden by qualified personnel whenever the situation or safety requires it.
- Benefits / Outcomes
- Future-Proof Career Skills: Position yourself as a vital asset to any global organization by becoming an expert in the worldβs first comprehensive AI law, a skill set currently in high demand.
- Financial Risk Mitigation: Protect your company from the massive financial penalties associated with non-compliance, which can reach up to 35 million Euros or a significant percentage of total global annual turnover.
- Enhanced Consumer Trust: Build stronger relationships with your customer base by demonstrating a commitment to ethical AI practices, data privacy, and transparency, which are increasingly valued in the modern digital economy.
- Operational Efficiency: Streamline your AI deployment processes by integrating compliance checks early in the development cycle, reducing the need for costly retrofitting or the sudden suspension of non-compliant digital services.
- Global Regulatory Insight: Gain a competitive advantage by understanding the “Brussels Effect,” as the EU AI Act is likely to set the global standard for AI regulation in many other jurisdictions worldwide.
- PROS
- Up-to-Date Content: The course includes the latest updates from December 2025, ensuring that all information reflects the most recent implementation guidelines and secondary legislation released by the European Commission.
- Actionable Templates: Beyond theoretical knowledge, the course provides practical templates for risk assessments and compliance checklists that can be immediately applied to real-world corporate projects and AI development pipelines.
- CONS
- Regulatory Complexity: The legal and technical jargon within the legislation is inherently dense, requiring focused attention and repetitive study to successfully translate abstract rules into specific, actionable business strategies.
Learning Tracks: English,Business,Other Business
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