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.

Artificial intelligence (AI) has enormous potential for improving health outcomes and helping countries achieve universal health coverage. However, for AI to have a beneficial impact on people’s health, ethical considerations and human rights must be placed at the centre of its design, development, and use. Adapted from the core contents of the Guidance on Ethics & Governance of Artificial Intelligence for Health, this course introduces entry-level knowledge to policymakers, AI developers and designers, and health care providers who are involved in designing, developing, using and regulating AI systems for health.

Learn how emerging digital technologies impact human rights and how responsible governance can harness innovation while protecting fundamental rights.

Big data and data analytics emerged quickly in the past decade and they aren't buzz words; they are a reality and they are all making an impact in education. Learning analytics are becoming essential for data-driven decisions in education. A key component of the future of learning institution, as they are used to optimize learning environments for students and employees. The data generated by digital learning ecosystem can guide training managers in making informed data-driven decisions, and students seeking for a personalized learning experience. By taking this course you will learn how to make data-driven decisions to optimize learning and the environments in which it occurs. The course is designed to increase your understanding of learning analytics and it will prepare you to make data-driven decisions about education improvement using a broad range of data collection, analytical, and visualization methods.