AI is reshaping what is possible in learning design. This course helps you integrate AI into your creative process without sacrificing what makes your work valuable: empathy, insight, and human judgment. Developed by UNITAR's Learning Solutions Team, practitioners blending behavioural science, instructional design, strategic foresight, and ethical AI, it's a practical, human-centred learning experience built for real-world impact.

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. In this course, you will learn: - The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science - What AI realistically can--and cannot--do - How to spot opportunities to apply AI to problems in your own organization - What it feels like to build machine learning and data science projects - How to work with an AI team and build an AI strategy in your company - How to navigate ethical and societal discussions surrounding AI Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.

The objective of this course is to build capacity among policymakers and stakeholders to better understand their science, technology, and innovation (STI) ecosystems and thus design and implement successful STI policies. The 2026 spring-summer session is closed for registration. The registration deadline was 20 February 2026. A new term and intake will be announced in Q4 2026.

By exploring the intersection of the rapidly changing worlds of business, technology and social good, this course is designed to help you to prototype innovative solutions that address the most pressing challenges in the lives of vulnerable children.