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 Duration 7 hours

Course Outline

Welcome and Opening Remarks

Basics of Artificial Intelligence

  • Definitions and core functions of AI
  • Distinguishing between Machine Learning, Neural Networks, and other AI technologies
  • Real-world application sectors

Regulatory Framework

  • The EU AI Act and its national adoption
  • The General Data Protection Regulation (GDPR) in the context of AI
  • Liability considerations regarding AI systems

Ethical and Social Dimensions

  • Addressing bias and discrimination within AI
  • Ensuring transparency and traceability
  • Corporate accountability in AI deployment

Technical Proficiency

  • Introduction to data analytics and machine learning principles
  • Foundational understanding of algorithms and data processing
  • Hands-on usage of AI tools and platforms

Risk Governance

  • Identifying and evaluating potential risks
  • Strategies to mitigate errors and misuse
  • Ongoing monitoring and periodic review of AI systems

Requirements

  • No prior experience required

Target Audience

  • Enterprises that create, deploy, or utilize AI systems or tools
  • Suppliers and operators of high-risk AI systems
  • Organizations handling personal data for AI-based applications

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