AI For Everyone: Essential Concepts for Business Leaders

In this module, you will learn about the fundamental concepts of AI, including machine learning, data, and deep learning. The module covers AI terminology, what makes an AI company, and the capabilities and limitations of machine learning. It provides both technical and non-technical perspectives on these topics.

This module focuses on the practical aspects of implementing AI projects. It covers the workflows of machine learning and data science projects, how different job functions can utilize data, selecting AI projects, and working with AI teams. It includes guidance on technical tools and project selection.

This module provides comprehensive insights into implementing AI at an organizational level. Through case studies of smart speakers and self-driving cars, it explores AI team roles, transformation strategies, and potential pitfalls. It includes surveys of major AI application areas and techniques.

This final module addresses the broader implications of AI in society. It covers important topics such as discrimination/bias, adversarial attacks, adverse uses of AI, impact on developing economies, and effects on employment. It provides a realistic view of AI's current capabilities and future potential.