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Machine Learning in the Enterprise
This course is part of Google Cloud Machine Learning Engineer Certificate Prep.
Course Cost
Free course
Intermediate
Skill Level
14 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 Machine Learning on 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.
33,138 Enrolled
English
What you'll learn
Describe data management and governance options
Implement Vertex AutoML and BigQuery ML solutions
Use Vertex Vizier for hyperparameter tuning
Create batch and online predictions with Vertex AI
Develop and manage ML pipelines
Skills you'll gain
This course includes:
2.5 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 10 modules in this course
This course provides a comprehensive look at implementing machine learning solutions in enterprise environments using Google Cloud tools. Students learn about data management and governance using Feature Store, Data Catalog, and Dataplex, along with various preprocessing options. The curriculum covers different approaches to building ML models including AutoML, BigQuery ML, and custom training, with hands-on experience in Vertex AI for model deployment, monitoring, and pipeline creation.
Introduction
Module 1 · 1 Minutes to complete
Understanding the ML Enterprise Workflow
Module 2 · 23 Minutes to complete
Data in the Enterprise
Module 3 · 1 Hours to complete
Science of Machine Learning and Custom Training
Module 4 · 2 Hours to complete
Vertex Vizier Hyperparameter Tuning
Module 5 · 3 Hours to complete
Prediction and Model Monitoring Using Vertex AI
Module 6 · 2 Hours to complete
Vertex AI Pipelines
Module 7 · 5 Hours to complete
Best Practices for ML Development
Module 8 · 20 Minutes to complete
Course Summary
Module 9 · 1 Hours to complete
Series Summary
Module 10 · 22 Minutes to complete
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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.