The course aims to provide participants with a basic but solid understanding of the AI Act, focusing on its main chapters that define the general provisions, prohibited AI practices, high-risk AI systems, transparency obligations, and tools supporting innovation, among other key aspects.
Course Content and Programme
1 – Introduction, Risk-Based Approach and General Concepts (February 11)
- General provisions and guiding principles of the AI Act
- Key definitions and scope of the regulation
1 hour presentation + 30 minutes Q&A
2 – Cybersecurity Requirements (February 16)
- Analysis of the specific cybersecurity requirements under Articles 9 and 15 of the AI Act, as well as synergies with other cybersecurity regulations
- Overview of the state of technical standardization: ISO, CEN–CENELEC
- Introduction to potential technical measures to enhance the security of AI systems and support future regulatory compliance
1 hour presentation + 30 minutes Q&A
3 – Measures in Support of Innovation (Sandboxes) & Governance (February 18)
- Introduction to regulatory sandboxes: rationale, operating models, benefits, and best practices
- Examples of sandbox implementation under the AI Act and governance tools for safe, trustworthy, and responsible AI systems
- Governance and monitoring structures for high-risk AI systems and GPAI
1 hour presentation + 30 minutes Q&A
4 – Prohibited AI Practices & High-Risk AI Systems (February 18)
- Analysis of AI practices prohibited under the AI Act
- Requirements and compliance for high-risk AI systems
1 hour presentation + 30 minutes Q&A
5 – General-Purpose AI Models (GPAI) (March 4)
- Analysis of the role and characteristics of General-Purpose AI models and understanding the applicable regulations
- Exploration of governance measures and innovation support mechanisms related to GPAI
1 hour presentation + 30 minutes Q&A
Course Duration
7, 5 hours
Target Audience
Participants with a basic technical understanding of AI technologies
Requirements
Basic knowledge of programming and elementary concepts of mathematics/statistics
Calendar
February 11, 2026 from 16:00 to 17:30
February 16, 2026 from 16:00 to 17:30
February 18, 2026 from 16:00 to 17:30
February 25, 2026 from 16:00 to 17:30
March 4, 2026 from 16:00 to 17:30