Getting started with AI

Artificial Intelligence (AI) has the potential to transform many business sectors and processes. This course will introduce the fundamental concepts behind AI, including what it is and where it’s used. We’ll also discuss some of the issues surrounding AI, such as ethical and privacy concerns, and consider the possible future developments of AI, including the possible consequences for jobs and even societies. This course is entirely non-technical and requires no prior knowledge of AI.

Artificial Intelligence (AI) has a variety of applications in business, such as text or image analysis, speech recognition, and behavior or sentiment analysis. In this course, we’ll explain some of these applications, outlining how they’re used, what algorithms they involve, and what results you might expect. However, we’ll stop short of coding or implementing any AI solutions, meaning this course will remain relatively non-technical.

AI is revolutionizing business, but without proper regulation, it can lead to biased decisions, security threats, and ethical concerns. In this course, you'll discover how the EU AI Act sets the global standard for responsible AI, learn how AI systems are classified by risk, navigate compliance requirements, and understand the Act’s impact on businesses and industries worldwide.

In this course, you’ll learn how AI is used in the workplace and why ethical use is essential. You’ll explore six key principles for using AI responsibly. By the end, you’ll be able to apply these principles to spot potential risks, ask the right questions, and ensure AI supports both your organization and the people it impacts.

Understanding natural human language has traditionally been a difficult task for computers, but AI methods make it increasingly possible. This course will teach you about Natural Language Processing (NLP), including what it is, where it can be used, and a principles-based overview of how it works.

Large Language Models are used to power modern language tools like chatbots and other generative AI tools. This course will introduce the principles of these models, including how they work, how to interpret and adjust them, and how they might improve in the future.