For professionals
Interactive workshops
Move from theory to action
Focused, practical sessions for non-technical audiences, our
4-hour workshops offer flexible delivery that can be combined with other courses to support your team’s real-world challenges.
Fundamentals of data and AI leadership
This interactive workshop supports non-technical leaders and professionals to develop a strong understanding of data and AI through practical insights, real-world examples, and guided strategy development.
Participants learn how to identify value in their data, integrate AI into workflows, and build responsible, opportunity-focused data and AI strategies. By the end of the session, participants will have the confidence to lead data initiatives and understand the opportunity for AI within their organisation.
Implementing a data and AI strategy
This interactive workshop equips data and AI leaders with the capability to design and implement a tailored data and AI strategy through practical roadmap creation and applied learning.
Participants learn how to move from theory to action, effectively govern and deploy AI, and evolve their organisation’s approach as needs and technologies change. Participants gain the confidence to lead the development of a data and AI strategy within their organisation.
Leading with integrity: Ethics and bias in the AI era
This workshop builds a practical understanding of ethics and bias in AI, helping participants critically assess how bias can emerge, how it affects decision-making, and how it could impact their organisation.
Participants gain an understanding of the importance of ethics and bias in AI and feel confident applying these principles within their organisation.
Developing an AI-ready workforce
This workshop introduces the Data and AI Skills Framework (2025) as a practical tool to support organisations in developing an AI-ready workforce, with a focus on the human side of AI adoption.
Participants explore how skills and confidence influence readiness, reflect on current capabilities using the Data and AI personas, and identify priority development areas. Through a simple pathway approach, they consider realistic upskilling actions over a six-month period and how these can be applied within their own organisational context.
