Artificial Intelligence (AI) Regulations - EU AI Act Training

Start Date End Date Venue Fees (US $)
06 Sept 2026 Kuala Lumpur, Malaysia $ 4,500 Register
18 Oct 2026 Riyadh, KSA $ 3,900 Register

Artificial Intelligence (AI) Regulations - EU AI Act Training

Introduction

This AI Regulations training course presents a synthesis of the most relevant Artificial Intelligence Regulations, concentrating on the EU AI Act. Artificial Intelligence has permeated just about every aspect of society and it is important to consider regulations and best practices to avoid misuse and contains risks. AI achieves excellent results without costing excess effort or money. Although businesses are currently busy on how to manage operations efficiently and to deliver them in the most optimized fashion, they need to be aware of the AI risks involved which range from unacceptable to low and minimal. In this training course, the essential concepts of artificial intelligence risks are reviewed and how the EU AI Act has designed a set of obligations to mitigate these risks. Participants will get insights on how to correlate the various mitigation's developed by the EU AI Act to the AI risk levels. The delegates attending this training course will learn the details of the EU AI Act including the most important obligations to providers and deployers in an effort to protect the rights of multiple stakeholders including the general public.

This Artificial Intelligence (AI) Regulations training course will highlight:

  • Assessment of AI risks
  • Obligations in accordance to AI risk levels
  • AI Regulatory Sandboxes
  • Governance, databases, and continual activities
  • Active participation in discussions on aspects of the EU AI Act

Objectives

    At the end of this Artificial Intelligence (AI) Regulations training course, you will learn to:

    • List and discuss the various EU AI Act risk levels
    • Associate EU AI Act obligations to the risk levels
    • Distinguish among the various AI models
    • Discuss the various measures in the EU AI Act
    • Describe the governance, databases, and continual activities

Training Methodology

This training course will utilize various proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes many examples to clarify the EU AI Act and a set of breakout exercises to enable delegates active participation in discussions and sharing ideas and experiences towards the completions of the exercises.

Who Should Attend?

The training course is tailored for a diverse range of AI professionals who desire to learn about regulations such as the EU AI Act and to be a driving force for its implementation in their organizations..

This Artificial Intelligence Regulations - EU AI Act training course is suitable to a wide range of professionals but will greatly benefit:

  • Inspired leaders or the ones trying to become inspired leaders,
  • Business Leaders and Managers
  • Project Managers and Technical Leaders
  • Data Scientists and analysts
  • Researchers and Academics
  • Entrepreneurs and Startup-Founders
  • Government professionals with AI responsibilities
  • Venture Capitalists and Investors
  • Compliance professionals and officers

Course Outline

Day 1: Introduction to AI Risk and the EU AI Act

  • Introduction to Course
  • Review of AI, AI Systems, and AI Services
  • AI Risk
  • AI Risk Assessment
  • Levels of Risk in the EU AI Act
  • Overview of the EU AI Act

Day 2: Prohibited Practices and High-Risk Systems

  • Prohibited AI Practices
  • Classification Rules for High-Risk AI Systems
  • Requirements for High-Risk AI Systems
  • Obligations of Providers and Deployers of High-Risk AI Systems and Other Parties
  • Notifying Authorities and Notified Bodies

Day 3: AI Systems with Limited Risk, and Low and Minimum Risk – Models & Innovation Measures

  • Transparency Obligations for Providers
  • Transparency Obligations for Deployers
  • Classification of AI Models
  • Obligations for Providers of AI Models
  • AI Regulatory Sandboxes
  • Measures in Support of Innovation

Day 4: Governance, Databases, and Continual Activities

  • Governance at Union Level
  • National Competent Authorities
  • EU Database for High-Risk AI Systems
  • Post-Market Monitoring
  • Sharing of Information & Enforcement
  • Supervision, Investigation, and Monitoring of Providers

Day 5: Codes of Conduct, Delegation of Power, Penalties & Other Considerations

  • Codes of Conduct & Guidelines
  • Delegation of Power
  • Penalties
  • Final Provisions
  • Other Considerations
  • Course Summary and Takeaways

Accreditation

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