AI Fundamentals

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.

Artificial Intelligence techniques can help you predict the key values that help you make important business decisions, but to do so you need to understand what AI models can do this and how to evaluate them. In this course, you'll learn how to predict numeric values using regression techniques.

Not all business situations boil down to numbers. Sometimes you need to predict an outcome that has only a few possible values. In this course, you'll learn how to predict scenarios with a limited number of outcomes using classification techniques.

Learn how AI techniques can discover hidden patterns and trends that are not immediately obvious, but contain valuable insights. In this course, you'll learn how unsupervised learning techniques are used to find clusters and associations in datasets.

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.