About this Course
AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. In this course, you will learn: - The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science - What AI realistically can--and cannot--do - How to spot opportunities to apply AI to problems in your own organization - What it feels like to build machine learning and data science projects - How to work with an AI team and build an AI strategy in your company - How to navigate ethical and societal discussions surrounding AI Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI
What You'll Learn
- Understand common AI and machine learning terminology
- Assess realistic capabilities and limitations of AI
- Identify opportunities to apply AI within an organization
- Contribute to building an AI strategy aligned with business goals
Prerequisites
- Basic computer and internet skills
- Ability to follow introductory non-technical content
Instructors
Andrew Ng
Instructor