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.

This course presents the main principles, concepts, and approaches of the Tropical Agriculture Platform (TAP) Common Framework on Capacity Development for Agricultural Innovation Systems (CDAIS), developed by international experts to strengthen innovation capacities in low- and middle-income countries. The course consists of 6 lessons, of approximately 30-40 minutes duration each: Lesson 1 – Agricultural Innovation Systems – concepts and elements Lesson 2 – Capacity development for Agricultural Innovation Systems (AIS) Lesson 3 – Capacity needs assessments and strengthening at innovation niche level Lesson 4 – Capacity needs assessments and strengthening at organization level Lesson 5 – Strengthening the enabling environment Lesson 6 – The Monitoring, Evaluation, and Learning framework

The Digital Fitness Programme (DFP) is a hands-on digital product design and management training for talented Operations and Programme Managers aiming to built and roll out digital solutions.

This interactive online course provides clear explanations of the differences between manned and unmanned aviation