Our future is here and it relies on data. Medical robots, smart homes and cities, predictive policing, artificial intelligences – all are fuelled by data and all promise new benefits to society. But will these innovations benefit everyone? Who stands to gain and who is put at risk? How can we ensure that data is part of a just and sustainable world?

Learn to create AI applications with prompt engineering in this introductory online course. Go beyond AI basics, and learn technical and practical skills to harness the power of this emerging technology. Some experience with JavaScript, Node.js, and APIs is recommended.

This course provides a practical introduction to ChatGPT, from signing up to mastering its advanced features. Topics covered include conversing with ChatGPT, customizing it, using it for productivity and building chatbots, as well as advanced applications like language translation and generating creative content. Best practices and tips for using ChatGPT are also included.

Creating data models using machine learning requires effective training data. This course will teach you how to feed your data model’s training process using data labeling for supervised training and unlabeled data for semi-supervised training.

Explore I2C communication protocols and their applications in integrating sensors with embedded systems.

Explore the concepts of eigenvectors and eigenvalues and their applications in machine learning and data science.

Learn design methodologies and debugging techniques for effective embedded systems development.

Explore essential concepts related to digital output devices and the integration of analog signals in embedded systems.

Explore the basics of embedded systems, including hardware, software, and applications in various domains.

Discover how embedded systems interact with IoT and AIoT technologies for smart applications.

Understand how to integrate sensors and enable communication in embedded systems for data acquisition.

Learn to balance innovation and risk in AI technology implementation. Foster a culture of resilience, continuous learning, and agility for effective AI leverage.