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Production Machine Learning Systems

Master advanced ML system design for production environments, covering distributed training, performance optimization, and hybrid cloud deployment.

Master advanced ML system design for production environments, covering distributed training, performance optimization, and hybrid cloud deployment.

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.

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Production Machine Learning Systems

This course includes

18 Hours

Of Self-paced video lessons

Advanced Level

Completion Certificate

awarded on course completion

5,029

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

Machine Learning
Distributed Training
TensorFlow
TPUs
Model Deployment
Performance Optimization
MLOps
System Architecture
Hybrid Cloud
Model Serving

This course includes:

2.5 Hours PreRecorded video

4 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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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.

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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

Fee Structure

Instructor

Google Cloud Training
Google Cloud Training

4.7 rating

86 Reviews

26,85,892 Students

1,729 Courses

Empowering Businesses with Expert Training from Google Cloud

The Google Cloud Training team is tasked with developing, delivering, and evaluating training programs that enable our enterprise customers and partners to effectively utilize our products and solutions. Google Cloud empowers millions of organizations to enhance employee capabilities, improve customer service, and innovate for the future using cutting-edge technology built specifically for the cloud. Our products are designed with a focus on security, reliability, and scalability, covering everything from infrastructure to applications, devices, and hardware. Our dedicated teams are committed to helping customers successfully leverage our technologies to drive their success.

Production Machine Learning Systems

This course includes

18 Hours

Of Self-paced video lessons

Advanced Level

Completion Certificate

awarded on course completion

5,029

Testimonials

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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.