Foundations of data and AI leadership
Equip yourself with the fundamental skills and knowledge to drive data and AI initiatives.
- Online in Teams
- 2
- 2 hour
- £250
About
Foundations of data and AI leadership, is designed to equip further and higher education leaders and managers with the fundamental skills and knowledge to drive data and AI initiatives within their institutions.
Delivered in collaboration with The Data Lab, it combines Jisc’s expertise in digital leadership, data maturity and AI in education with The Data Lab’s cross sector experience in data science and AI.
Benefits
- Gain the confidence and expertise to lead your institution towards a data-informed future
- Learn about the core concepts of AI and its transformative potential in the education sector
- Equip yourself with the tools to implement data and AI initiatives responsibly and ethically
Format
This course is delivered online through two separate 2 hour sessions. Each session combines presentations, interactive activities, and group discussions.
The timings are as follows:
- 29 April 2025 - 1000-1200hrs
- 1 May 2025 - 1400-1600hrs
Who should attend?
This course is designed for higher education and further education leaders and managers who are looking to champion data-informed decision-making and AI within their institutions, for example:
- Operational and departmental managers integrating data and AI into their strategies
- Educators and curriculum developers enhancing their understanding of data and AI in education
- Strategic decision-makers responsible for implementing technology initiatives
- Consultants and project managers involved in digital transformation projects
No prior knowledge of data and AI is required.
What we will cover
Session 1: Driving value from data and AI (2 hours including a short break)
Introducing the exciting possibilities of data and AI. You’ll explore the current landscape and identify opportunities within your own organisation.
- Understanding the data and AI landscape: How these technologies are revolutionising education
- The value of your organisation’s data: Methods to leverage data for institutional benefit
- Working with AI: The possibilities of AI, understanding AI and the different types, and applications in education and designing AI
Session 2: Leading with data and AI (2 hours including a short break)
Assess your institutions' readiness for data and AI initiatives. Learn to overcome barriers and lead responsibly.
- Defining a data and AI strategy: Aligning and executing your strategy
- Responsible data and AI leadership: Guiding principles to ensure ethical practices and responsible leadership
- Embedding a data culture: Address bias and building inclusive teams to foster a positive data culture
Training outcomes
By the end of this course, you will:
- Develop a credible voice when discussing data and AI within your organisation
- Recognise the strategic value of data and its potential to enhance organisational performance
- Discover, evaluate and design AI opportunities tailored to your organisation’s needs and goals
- Gain a comprehensive understanding of aligning data and AI strategies with your organisation’s broader ambitions, and how to successfully implement them
- Demonstrate leadership in fostering responsible, ethical and transparent practices in data and AI initiatives
Pricing and eligibility
Member price - £250 plus VAT
For more information please email training@jisc.ac.uk or phone 01235 822242.
Joining the session
Our live online sessions (courses, clinics and webinars) are delivered using Microsoft Teams. Therefore, to benefit from the full experience, you will require a Microsoft account, either personal or organisational.
If this poses a barrier, please email training@jisc.ac.uk to discuss alternative options.
Our live online sessions (courses, clinics and webinars) are delivered using Microsoft Teams. Therefore, to benefit from the full experience, you will require a Microsoft account, either personal or organisational.
If this poses a barrier, please email training@jisc.ac.uk to discuss alternative options.