Digital Academy

AI has been gaining a lot of attention in the modern world, and this Microskill provides students from all backgrounds with a perfect opportunity to start developing their AI literacy. This Microskill is a gentle and non-technical introduction on how machines learn from data and explore various use cases and applications of AI. You do not require any prior programming or computer science experience for this Microskill. In this Microskill you will learn about: Real-world applications of AI and how AI is transforming the world around us Common AI terminologies Advice from industry experts to start your career in AI The differentiation between facts and myths in AI So, why wait? Add this high-demand skill to your portfolio now and get started!  As you work through the course, you will have the opportunity to answer some questions and progressively check your understanding. Complete all modules and the feedback activity to obtain a certificate of completion. Duration: 3 hoursDelivery: Online (self-paced)

Almost every organisation currently stores data or is considering migrating data to the cloud, or utilises services in the Cloud. As a result, the demand for cloud professionals is increasing. This introductory cloud computing course gives you an overview of the case for cloud computing, understanding cloud computing technologies, cloud deployment models and how to get into the Cloud workspace. This Microskill course will also explore career opportunities in cloud computing. There are no prerequisites for this Microskill course. As you work through the course you will have the opportunity to answer some questions and progressively check your understanding. Complete all modules and the feedback activity to obtain a certificate of completion. Duration: 3 hoursDelivery: Online (self-paced)

Everyone is more prone to cyber-attacks in today’s interconnected world. Cyber security is the responsibility of everyone. Whether you’re interested in the new area of cyber security as a professional, or just interested in understanding cyber safety, this introduction to cyber security course gives you an overview. It explores cyber security threats—along with the broader topic of cyber security in a way that will resonate with you. For instance, you’ll learn what are vulnerabilities and risks, how to stay cyber safe, what are the common cyber threats, and career opportunities in cyber security. In this introductory course, you will also understand the adversaries and motivations of cyber attackers. There are no prerequisites for this Microskill course.  As you work through the course you will have the opportunity to answer some questions and progressively check your understanding. Complete all modules and the feedback activity to obtain a certificate of completion. Duration: 3 hoursDelivery: Online (self-paced)

Data is the driving force behind almost all aspects of our lives. The huge amount of data generated by enterprises or even individual, will only add value if you are able to comprehend the story behind the data. Data analytics is useful to gain hidden insights from the data we collect. It enables stakeholders to analyse and visualise data in sophisticated ways to make evidence-based decisions. Whether you want to explore the area of data analytics for work, or pursue a career in data analytics, this course provides the perfect introduction. This course presents foundational knowledge of data analytics and how it can be applied to practical problems. This course provides a short introduction to the fundamentals of data analytics, like gathering data, identifying data sources, cleaning, analysing and visualising data to add value to your decision making. So, why wait? Add this high-demand skill to your portfolio now and get started! There are no prerequisites for this Microskill course. As you work through the course, you will have the opportunity to answer some questions and progressively check your understanding. Complete all modules and the feedback activity to obtain a certificate of completion. Duration: 3 hoursDelivery: Online (self-paced)

Today, AI systems collect and interpret voluminous and heterogenous data collected from various sources to add value to the decision-making process. This has raised fundamental challenges and concerns such as privacy, liability, fairness, transparency, accountability and many more. This course covers overarching ethics, laws and policies to consider during the life cycle of AI systems, that are needed to build trust in any AI process. You do not require any prior programming or computer science experience for this Microskill. In this Microskill you will learn about: Real-world application of AI used for good Guiding principles of AI Policies and procedures, governance and Engineering of Ethical AI applications Stack the vital knowledge on how to build AI systems responsibly and for good and get started with this inter-disciplinary Microskill now!  As you work through the course, you will have the opportunity to answer some questions and progressively check your understanding. Complete all modules and the feedback activity to obtain a certificate of completion. Duration: 3 hoursDelivery: Online (self-paced)