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.

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.

The Global Facilitator Training is an innovative hybrid programme designed to empower facilitators and trainers to operate effectively in international and multicultural contexts. The training begins with a creative Sprint (Day 1) - a collaborative design process where participants co-create the Global Facilitator Profile, defining the skills, values, and mindset that characterize global excellence in facilitation. Building on the outcomes of this creative phase, participants advance into the Facilitator Certification Training (Day 2,3,4) an advanced learning pathway that integrates high-level facilitation skills with a strong emphasis on social justice, development cooperation principles, and emotional intelligence, coaching models, intercultural facilitation and inclusion.

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.