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Managing Machine Learning Projects with Google Cloud
Learn to lead ML projects, from identifying business value to implementing ethical AI solutions using Google Cloud tools.
Course Cost
Free course
Beginner
Skill Level
11 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Digital Transformation Using AI/ML with Google Cloud Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
1,20,677 Enrolled
English
What you'll learn
Explore common machine learning business use cases
Assess ML project feasibility and business impact
Identify model building and evaluation requirements
Manage data quality and bias considerations
Implement ML projects successfully
Skills you'll gain
This course includes:
3.8 Hours PreRecorded video
6 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 8 modules in this course
This course empowers business professionals to lead machine learning projects without requiring technical expertise. Students learn to identify and assess ML opportunities, understand project requirements, and manage implementation effectively. The curriculum covers key aspects including data strategy, ethical AI considerations, team building, and creating a culture of innovation, with hands-on exposure to Google Cloud tools like AutoML, Vision API, and BigQuery ML.
Introduction
Module 1 · 17 Minutes to complete
Identifying business value for using ML
Module 2 · 1 Hours to complete
Defining ML as a practice
Module 3 · 1 Hours to complete
Building and evaluating ML models
Module 4 · 2 Hours to complete
Using ML responsibly and ethically
Module 5 · 2 Hours to complete
Discovering ML use cases in day-to-day business
Module 6 · 2 Hours to complete
Managing ML projects successfully
Module 7 · 2 Hours to complete
Summary
Module 8 · 8 Minutes to complete
Fee Structure
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.