Principles of Generative 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.

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.

Generative AI tools can produce detailed content like text, images, or video based on simple user prompts. In this course, you'll learn what generative AI can do for business, and we'll see how to exploit the potential of ChatGPT specifically.

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.