This course is designed for trainers, facilitators, learning specialists, and project leaders who want to enhance their ability to design impactful training that drives real behavioural change. It is also ideal for organisations aiming to multiply the impact of their initiatives by embedding a Training of Trainers (TOT) approach.

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.

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.

A UNITAR-certified online AI course — no coding, open to every discipline. Learn AI for social impact and build a project for the global contest.