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Course Outline
· Welcome and Introduction
· Fundamentals of Artificial Intelligence
- Definitions and functions of AI
- Machine Learning vs. Neural Networks vs. other AI technologies
- Practical application areas
· Legal Framework
- EU AI Act and national implementation
- General Data Protection Regulation (GDPR) in AI contexts
- Liability issues with AI systems
· Ethical and Societal Aspects
- Bias and discrimination in AI
- Transparency and traceability
- Corporate responsibility in AI usage
· Technical Competence
- Introduction to data analysis and machine learning
- Basic understanding of algorithms and data processing
- Practical use of AI tools and platforms
· Risk Management
- Identification and assessment of risks
- Measures to minimize errors and misuse
- Monitoring and regular review of AI systems
Requirements
- None
Audience
- Organizations that develop, operate, or use AI systems or tools
- Providers and operators of high risk AI systems
- Organizations that process personal data for AI-based applications
7 Hours
Testimonials (1)
Step by step training with a lot of exercises. It was like a workshop and I am very glad about that.
