Azure AI Fundamentals: Artificial Intelligence Concepts

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Artificial intelligence (AI) and machine learning (ML) are expansive concepts that mean different things to different people. With a vast and ever-growing list of practical applications for AI/ML, it is no surprise that the technology is garnering the attention of organizations far and wide. In this course, you will explore key concepts of AI, beginning with ML types. Then you will discover data in ML, labeled and unlabeled data, and data features. Next, you will delve into key methods and techniques, such as regression, binary classification, multi-class classification, and clustering. Finally, you will focus on the features, advantages, and disadvantages of supervised and unsupervised learning, and the purpose of deep learning. This course is one of a collection that prepares learners for the Microsoft Azure AI Fundamentals (AI-900) exam.