Machine Learning for Business Professionals

Upon completion of the Machine Learning for Business Professionals course, students will be able to:

• Formulate machine learning solutions to real-world problems
• Identify whether the data you have is sufficient for ML
• Carry a project through various ML phases including training, evaluation, and deployment
• Perform AI responsibly and avoid reinforcing existing bias
• Discover ML use cases

Traditional enterprise business decision makers
 

You'll need a desktop web browser to run this course's interactive labs via Qwiklabs and Google Cloud Platform.
 

Introduction This module reviews the learning objectives for the course and introduces technology that will be important for completing labs. What is Machine Learning? This module defines what machine learning is, provides examples of how businesses are using it, contextualizes recent advances in machine learning, and reviews how artificial intelligence raises important ethical questions. Employing ML This module reviews how to do machine learning, including how to label data, train and evaluate models and avoid reinforcing bias. Discovering ML Use Cases This module reviews broad categories of ML use cases in order to jump start your ideation. How to be successful at ML This module reviews what your business must do in order to be successful at ML, including how to acquire data, how to appropriately govern that data, and how to create a culture of innovation. Summary This module reviews the content in the course.