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Machine Learning Operations (MLOps): Getting Started
This course is part of Google Cloud Machine Learning Engineer Certificate Prep.
Course Cost
Free course
Intermediate
Skill Level
3 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 Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate program. You can audit this 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.
36,746 Enrolled
English
What you'll learn
Configure and use MLOps core technologies
Implement CI/CD practices for ML systems
Set up reliable ML training workflows
Deploy and monitor ML models in production
Provision Google Cloud architectures for MLOps
Automate ML deployment pipelines
Skills you'll gain
This course includes:
1 Hours PreRecorded video
2 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
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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 4 modules in this course
This introductory course covers essential MLOps tools and best practices for deploying, evaluating, and monitoring machine learning systems on Google Cloud. Students learn about the core technologies and practices required for effective MLOps implementation, including CI/CD principles, Vertex AI usage, and reliable training workflows. The curriculum focuses on practical skills needed by data scientists and software engineers to transition ML models from prototype to production.
Welcome to the Machine Learning Operations (MLOps): Getting Started
Module 1 · 4 Minutes to complete
Employing Machine Learning Operations
Module 2 · 43 Minutes to complete
Vertex AI and MLOps on Vertex AI
Module 3 · 1 Hours to complete
Summary
Module 4 · 12 Minutes to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Google Cloud Machine Learning Engineer Certificate Prep
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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
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