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.
Week 4 Introduction
Skills You'll Learn
Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Needs Assessment, Strategic Thinking, Data Ethics, Data Science, Market Opportunities, Engineering Management, Business Ethics, Machine Learning, Team Building, Artificial Intelligence
Reviews
4.8 (47,750 ratings)
- 5 stars82.10%
- 4 stars15.68%
- 3 stars1.73%
- 2 stars0.24%
- 1 star0.23%
MB
Mar 30, 2023
This course was perfect to get started with industrial applications of AI and it cleared a lot of misconceptions about AI. Kudos to the team! Now I can proceed with my further learnings in the field.
AP
Apr 25, 2021
Really good course. It provides a good overview of key issues in AI. Useful course for non-technical business leaders wanting to understand key concepts in AI which they can take back to their firms.
From the lesson
AI and Society
Taught By
Andrew Ng
Instructor