The modules delivered under the course provide a blend of technical skills and soft skills with an aim to strengthen both digital and inter-personal skills of girls and young women. The course prepares participants to actively engage in Science, Technology, Engineering and Mathematics (STEM) related initiatives and future career opportunities in the digital sector. It provides a practical approach with scenarios and case studies that foster innovation and creativity for continued learning on the use of digital technologies and how they can contribute to the digital ecosystem.

This training course empowers start-up and scale-up women entrepreneurs by developing green digital entrepreneurship knowledge and skills in order to increase their economic empowerment. The course is designed to guide participants through the concepts and benefits of green business, green and circular economy and sus tainability concepts. It also explores digital green concepts, how to green supply chains and green finance. This course has been made possible with the support of the Women's Entrepreneurship Accelerator (WEA).

Artificial intelligence is no longer a future challenge for justice systems. It is already being used in courtrooms, shaping evidence, decision-making, and access to justice. Yet many judicial professionals lack the guidance and tools to assess these systems in line with fundamental rights and the rule of law. To address this gap, UNESCO and the University of Oxford have launched AI, Justice and Rule of Law. This Massive Open Online Course (MOOC) is designed to help justice professionals navigate the ethical, legal, and human rights challenges of AI.

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.