Today, the interaction of digital technologies with daily routines isn't merely a passing trend but a fundamental shift, continuously redefining the possibilities and challenges in the world of work. This course aims to demystify AI and provides insights and skills on it thanks to a heterogeneous group of experts. They will explore AI's effects on training, knowledge management, and workforce development. They'll tackle key trends, and ethical considerations, and showcase innovative applications of AI that you can apply in your everyday life. Whether you're a student, educator, or professional, this Masterclass is your guide to staying relevant and succeeding in the evolving landscape of AI and education.

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.

This self-paced online course is divided into three sections with a total of 11 concise topics, each designed to build progressively on your understanding of innovation in aviation. Starting with core innovation concepts, the course then explores key enablers and practical strategies to overcome common barriers. Each topic takes 10 minutes to complete, offering flexible, anytime learning.

This course focuses on technical, business and regulatory aspects of Internet of Things (IoT), Big Data and Artificial Intelligence (AI). It covers Internet technologies for IoT, then IoT standards, architectures and interoperability, as well as IoT policies and regulations, including IoT security and privacy issues. The course includes IoT services in 4G and 5G mobile systems, including massive IoT and critical IoT use cases. The IoT generates large amounts of data that cannot be processed by traditional techniques, and such data is referred to as Big Data. In that manner, the course includes Big Data overview, Big Data ecosystem and reference architecture, Big Data technologies and use cases, as well as business and regulatory challenges for Big Data. Artificial Intelligence (AI) is targeted for processing Big Data in Internet and telecom networks. In that regard the course covers introduction to AI in ICT/telecom world, and AI applications in Internet and telecom environments, including Machine Learning aspects for 5G mobile networks. The course further includes Big Data and AI challenges, business aspects, as well as policies and regulation. Finally, the course covers governance of IoT, Big Data, and AI.