Data Spaces
This course is devoted to a relatively new area - data spaces, which is natural development of data lakes and other data management approaches and technologies introducing governance as a key to the AI-ready organisations. The governance is looked from different prospective, including privacy, security, transparency, monetisation and others. To add more technical and practical dimension to the course different EU initiatives are discussed and introduced for better understanding of the data spaces concepts an their implementations.
This course has been designed to guide student through the rapidly evolving landscape of data sharing infrastructures and ecosystems. It brings together the key lessons and best practices learned from real-world implementations and academic research on Data Spaces.
The course content is divided into three main logical sections. The first part focuses on how Data Spaces are designed — this includes platforms, governance, legal frameworks, and technical requirements. The second part explores how they’re being used in early deployment scenarios across industries. Finally, the third part looks ahead at future directions — what’s on the horizon, and what challenges and opportunities lie ahead.
This course is fully online and self-paced, so students can learn according to their schedule. Quizzes and assignments will help reinforce what they learned and apply it in practice.
Course Content
About Instructor
Course Includes
- 16 Lessons
- 15 Quizzes
