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.

The E-Learning Path on Data Analytics is designed to enhance your ability to analyse, visualize, report and communicate data effectively. Participants will complete modules and activities at their own pace. They will participate in engaging online forums and interact with faculty and peers.

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.

These self-paced e-learning modules build skills across the many domains of sustainable finance, enabling learners to understand core concepts in sustainable finance and the tools and strategies for utilizing sustainable finance to deliver the SDGs.