Digital Agricultural Technologies (DATs) are innovations that enable farmers and agribusiness entrepreneurs to leapfrog to increase their productivity, efficiency, and competitiveness, facilitate access to markets, improve nutritional outcomes and enhance resilience to climate change. These technologies range from mobile apps to digital identities for farmers to solar applications for agriculture to portable agriculture devices. DATs are increasingly becoming indispensable in the global food and agriculture sector, from fast and convenient information delivery to providing virtual marketplaces. Considering the fact that digital technologies can accelerate agro-food outcomes is juxtaposed with low adoption rates of the same, the World Bank’s operations are increasingly incorporating digital agriculture as a critical element in its operations. Thus, it is important to study digital agriculture technologies in further detail. This five-week course will provide a high-level overview of DAT concepts, potential impact, range of technologies available, used cases as well as forward-looking technologies. The course will introduce the participants to different agriculture data platforms already available and will encourage them to discover the scope and utility of the open data platforms for analytics and intelligence in agriculture. Participants will be required to engage in discussion forums with their peers and complete quizzes throughout the course.

As courts modernise procedures and information systems, AI tools are increasingly introduced to support judicial work, case management, evidence analysis and access to legal information. These technologies can strengthen efficiency, consistency and access to justice. Yet they also raise fundamental questions about fairness, due process, transparency, explainability, and accountability. The course will address the following questions, and many more: - How should judges assess algorithmic outputs presented in court? - What safeguards are needed to prevent bias or over-reliance on automated systems? - How can courts adopt innovation while preserving independence and public trust? Developed in partnership with UNESCO, this course provides a human rights-based framework for understanding AI’s impact on justice systems and safeguarding the rule of law.

UN Women AI School is a regional movement and learning programme that equips UN staff, policy makers, civil society, and young leaders to learn, build, and govern safe, gender-inclusive AI. Through a shared core curriculum on AI foundations, responsible use, and prompt craft—plus weekly Expert Talks and hands-on Innovation Labs—participants turn ideas into policy briefs, tools and datasets that serve communities across the region. A 24/7 Companion GPT supports practice and catch-up, and the Grand Challenge spotlights standout projects. All toolkits and templates are open for replication across Asia and the Pacific.

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.