Our goal is to demystify AI The Elements of AI is a series of free online courses created by MinnaLearn and the University of Helsinki. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.

The Inclusive Learning Design course is a free, self-paced online course to help learning professionals create training that is accessible, equitable, and meaningful for diverse audiences. Grounded in the UN Disability Inclusion Strategy and UNITAR’s Gender and Inclusivity Frameworks, the course provides practical guidance on integrating gender equality, disability inclusion, intercultural sensitivity, and accessibility considerations throughout the entire training cycle, from analysis and design to implementation and evaluation. Participants explore real-world scenarios, practical tools, and downloadable resources to help ensure that no learner is left behind.

The UN Global Pulse Accelerator is the United Nations’ programme for turning promising innovative solutions into real-world impact at scale. Selected teams can expect an intensive, hands-on experience designed to turn high-potential ideas into real-world results. Through an expert-led workshop, cross-agency collaboration, and tailored technical support, teams will build concrete, realistic strategies to scale their solutions The Accelerator welcomes UN-led teams with piloted solutions through an annual call for applications, with a thematic focus that evolves each cycle to reflect emerging priorities across the UN system.

During this 8-hour deep dive, you will be introduced to the key techniques, services, and trends that will help you understand foundation models from the ground up. This means breaking down theory, mathematics, and abstract concepts combined with hands-on exercises to gain functional intuition for practical application. Throughout the course, we focus on a wide spectrum of progressively complex generative AI techniques, giving you a strong base to understand, design, and apply your own models for the best performance. We’ll start with recapping foundation models, understanding where they come from, how they work, how they relate to generative AI, and what you can to do customize them. You’ll then learn about picking the right foundation model to suit your use case.