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Production Machine Learning Systems
This course is part of multiple programs. Learn more.
Course Cost
Free course
Advanced
Skill Level
18 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 Advanced 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.
33,737 Enrolled
English
What you'll learn
Compare static versus dynamic training and inference approaches
Manage model dependencies effectively
Implement distributed training with fault tolerance
Optimize system performance for production deployment
Export models for maximum portability
Skills you'll gain
This course includes:
2.5 Hours PreRecorded video
4 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 6 modules in this course
This course focuses on building high-performance machine learning systems for production environments. Students learn essential components and best practices for creating scalable ML systems, including static vs dynamic training, distributed TensorFlow implementation, and TPU optimization. The curriculum covers advanced topics such as model dependencies, fault tolerance, replication, and model portability while emphasizing system performance beyond just prediction accuracy.
Introduction to Advanced Machine Learning on Google Cloud
Module 1 · 23 Minutes to complete
Architecting Production ML Systems
Module 2 · 3 Hours to complete
Designing Adaptable ML Systems
Module 3 · 7 Hours to complete
Designing High-Performance ML Systems
Module 4 · 5 Hours to complete
Building Hybrid ML Systems
Module 5 · 2 Hours to complete
Summary
Module 6 · 21 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
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