Course
Skills
Managing Machine Learning Projects with Google Cloud
Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects.
What you'll learn
Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning use cases and vet them for feasibility and impact. Find out how you can discover unexpected use cases, recognize the phases of an ML project and considerations within each, and gain confidence to propose a custom ML use case to your team or leadership or translate the requirements to a technical team.
Table of contents
Introduction
5mins
Identifying business value for using ML
26mins
Defining ML as a practice
42mins
Building and evaluating ML models
54mins
Using ML responsibly and ethically
32mins
Discovering ML use cases in day-to-day business
45mins
Managing ML projects successfully
49mins
Summary
8mins
Course Resources
0mins
