AI and Data Law
Certificate Course - Information Systems Engineering - ISE.1.4.I26
| Date | Nov 26 - 27, 2026 |
| Duration | 1,5 days |
| Location | On campus - Karlsruhe |
| Language | English |
| ECTS | upon request |
| Cost | 1,290€ |
Fundamentals
The course introduces legal and regulatory frameworks for access and use of non-personal data and AI systems.
Technology
It covers AI systems and data governance within regulatory contexts such as the EU Data Act and AI Act.
Applications
It examines how legal frameworks are applied to regulate non-personal data use and AI systems across jurisdictions.
What you'll explore
- Data usage and data access as set out by the EU Data Act and corresponding legislation
- Overview on the legal framework of the EU AI Act
Your key takeaways
- Understanding the challenges of using / accessing non-personal data and the corresponding legal framework
- Understanding the legal framework of regulating AI systems and models
Taught by recognized experts in AI and Data Law
Benefit from the knowledge of leading specialists with extensive experience in research and industry. Their deep expertise guarantees a course of outstanding academic and practical quality.
Sven Jacobs
Sven Jacobs is Senior Legal Counsel and EMEA Data Strategy Lead at Cisco Systems, specializing in IT licensing, data law, and regulatory market access. He advises on complex legal and compliance frameworks in the context of digital transformation and global technology markets. In addition, he is a lecturer in intellectual property and AI law and a published author on IT compliance, Legal Tech, and data protection law. His work bridges law, technology, and innovation in the digital economy.
Who should attend
This course is particularly beneficial for professionals in the following fields
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Engineers, IT professionals, and data specialists
Software engineers, data engineers, data scientists, and IT architects who work with data-driven systems or AI applications and need to understand the surrounding legal and regulatory requirements. -
Product managers and project leaders in digital and AI-driven domains
Product owners, project managers, and innovation managers responsible for developing, deploying, or managing AI systems and data-intensive digital services in organizations. -
Legal, compliance, and data protection professionals
In-house counsel, compliance officers, data protection officers, and legal advisors who need a structured overview of AI regulation, data access and usage rules, and cross-border data issues. -
Policy makers, regulators, and public sector professionals
Staff in ministries, regulatory authorities, public agencies, and NGOs dealing with digital policy, AI governance, data strategies, and the implementation of EU digital legislation. -
Researchers and early-career academics
PhD candidates, postdoctoral researchers, and academic staff in law, computer science, information systems, or related disciplines focusing on AI governance, data law, platform regulation, or digital ethics.
Advance your career with KIT-level expertise
Benefit from the reputation of the Karlsruhe Institute of Technology (KIT) while gaining practical skills, flexible learning opportunities, and a recognized certificate to support your long-term professional growth.
Flexibility
Gain focused expertise in a specific field without committing to a full degree program, allowing you to build relevant knowledge efficiently and integrate learning seamlessly into your professional routine.
Relevance
Benefit from high-quality academic content combined with practical insights, delivered by experienced experts, supporting continuous, lifelong learning while ensuring direct applicability in real-world scenarios.
Advancement
Enhance your professional profile with a recognized certificate, demonstrating your commitment to ongoing development and supporting your career with tangible, verifiable credentials.
About HECTOR School
HECTOR School, the Technology Business School of the Karlsruhe Institute of Technology (KIT), is a leading provider of executive education in technology-driven fields.
For this course, participants who successfully complete the examination can earn a KIT certificate with ECTS credits, which may be credited toward our Executive Master of Science or Advanced Studies Programs, subject to content alignment.