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Duration 7 hours
Course Outline
Opening Remarks and Introduction
Basics of Artificial Intelligence
- Definitions and roles of AI
- Machine Learning vs. Neural Networks vs. other AI technologies
- Areas of practical application
Legal Structure
- EU AI Act and its implementation at the national level
- General Data Protection Regulation (GDPR) in the context of AI
- Liability concerns regarding AI systems
Ethical and Social Dimensions
- Bias and discrimination within AI
- Transparency and traceability
- Corporate accountability in AI usage
Technical Proficiency
- Introduction to data analysis and machine learning
- Fundamental understanding of algorithms and data processing
- Practical utilization of AI tools and platforms
Risk Control
- Identification and evaluation of risks
- Strategies to minimize errors and misuse
- Ongoing monitoring and periodic review of AI systems
Requirements
- None
Target Audience
- Organizations that create, manage, or use AI systems or tools
- Suppliers and operators of high-risk AI systems
- Organizations that process personal data for AI-based applications
Testimonials (3)
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt
