- Calendar
- Monday 8 September–Friday 24 October 2025
- Clock
- 09:00–17:00
- Price
- £2,497
Overview
The University of Edinburgh stands at the forefront of AI research and education. Building on a rich heritage of over six decades, our status as a global leader in AI innovation is well-established. Now, through Executive Education, we are equipping professionals across various industries to leverage the transformative potential of AI.
Course description
This six-week online course is specifically tailored for senior leaders and decision-makers. It aims to empower them to utilise the transformational power of Artificial Intelligence (AI) and Generative AI to drive innovation within their organisations.
Delivered through a flexible format, the course offers essential tools and leadership skills required for innovation and leadership in the digital era.
Unique collaborative expertise
Our course marries the expertise of the University of Edinburgh's Business School, School of Informatics, Edinburgh Futures Institute, and Law School. This unique collaboration provides cutting-edge insights into Artificial Intelligence, data-driven innovation, ethics, and regulation.
Live sessions
The course content will be released on a week-by-week basis, starting with an introductory module on Monday 8 September 2025.
A series of 1-hour live sessions will take place once per weekly module, starting 6pm UK time:
- Module 1 – Thursday 18 September 2025
- Module 2 – Thursday 25 September 2025
- Module 3 – Thursday 2 October 2025
- Module 4 – Thursday 9 October 2025
- Module 5 – Thursday 16 October 2025
- Module 6 – Thursday 23 October 2025
Key Benefits
Strategic AI Leadership: Acquire the expertise to assess AI’s impact across industries and develop actionable strategies for its responsible adoption.
Interdisciplinary Insights: Benefit from world-leading academic perspectives across Informatics, the Business School, and Edinburgh Futures Institute for a comprehensive understanding of AI’s technical, business, and societal dimensions.
Ethical and Responsible AI: Develop a critical understanding of AI’s societal implications, ethics, and governance to ensure innovations align with the public good and regulatory frameworks.
Foundations of AI & Machine Learning: Gain a clear, practical understanding of key AI concepts, including machine learning, neural networks, and generative AI, without needing a technical background.
Practical Business Application: Master the skills necessary to integrate AI into your organisation, create compelling business cases, and drive innovation confidently.
Expert-Led Learning Experience: Gain insights from top AI researchers and industry practitioners, blending academic excellence with real-world relevance.
Course outline
- Flexible format- the course employs a blended learning approach, comprising three hours of mandatory self-paced online material per week, with up to an additional hour of optional resources, complemented by a weekly one-hour live session.
- Interactive learning - live Q&A sessions with AI experts.
- Comprehensive curriculum - covers AI fundamentals, generative AI, ethical considerations and AI governance.
This course equips participants with the ability to lead AI-driven transformations effectively and responsibly, ensuring readiness to meet the challenges and opportunities of an increasingly digital future.
Course presenters
- Dr Valerio Restocchi – Lecturer in Business Application of Informatics, University of Edinburgh School of Informatics
- Dr Shama Rahman – Innovation Fellow, University of Edinburgh School of Informatics
- Dr Ben Moews – Lecturer in Predictive Analysis, University of Edinburgh Business School
- Dr Adam Ntakaris – Lecturer in Financial Technology, University of Edinburgh Business School
- Hermione Hague – Lead Tutor on IP Elective on the Diploma with the Law School
- Professor Burkhard Schafer – Personal Chair of Computational Legal Theory, University of Edinburgh School of Law
Certification
Upon completion of this course, participants will receive a University of Edinburgh Digital Badge, accompanied by a certificate of completion.