Managing Machine Learning Projects with Google Cloud

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.
Course info
Level
Intermediate
Updated
Nov 13, 2020
Duration
4h 22m
Table of contents
Module 1: Introduction
Module 2: Identifying business value for using ML
Module 3: Defining ML as a practice
Module 4: Building and evaluating ML models
Module 5: Using ML responsibly and ethically
Module 6: Discovering ML use cases in day-to-day business
Module 7: Managing ML projects successfully
Module 8: Summary
Description
Course info
Level
Intermediate
Updated
Nov 13, 2020
Duration
4h 22m
Description

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.

About the author
About the author

Build, innovate, and scale with Google Cloud Platform.

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