Learning catalogue
Browse the School's full catalogue of courses, events, programs and other learning tools. For recommended learning by theme or community, view our Learning paths.
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Skip to search resultsArtificial Intelligence Is Here Series: How AI Is Transforming the Economy
This event recording features a discussion on the economic transformations likely to occur as the use of artificial intelligence continues to grow and the role economic policy will play in mitigating the potential harm of AI while leveraging its benefits.
Artificial Intelligence Is Here Series: Talking about Bias, Fairness and Transparency
This event recording explores how government entities can use artificial intelligence to make decisions that are fair, transparent and accountable, while fostering the creation of technologies that help regulate its use.
Artificial Intelligence Is Here Series: The Global Effort to Regulate Artificial Intelligence
This event recording maps the notable steps taken around the world in regulating the use of artificial intelligence, from the European Union's introduction of the world's first comprehensive proposed legislation on AI, to efforts made by global standard-setting bodies to develop guidance on its responsible use.
Best Practices for Digital Transformation
This online self-paced course presents best practices for managing organizational change by adapting business operations and making them more resilient and flexible in the face of innovation or change. Participants will learn about the important role of leaders in enabling digital transformation and establishing an effective change management strategy.
Big Data Fundamentals
This online self-paced course examines the key characteristics of big data, the types of data it incorporates, the benefits it can provide, and the different ways it can be applied. Participants will explore some of the fundamental security challenges of big data and review best practices for managing big data throughout its information life cycle.
Big Data Interpretation
This online self-paced course examines the data analysis process and introduces the most common basic and advanced analytic methods, such as data mining. Participants will learn about the common big data tools and their uses, and consider some of the challenges in undertaking big data analysis activities in their organizations.