Welcome to the Cloud TPUs course. We'll explore the advantages and disadvantages of TPUs in various scenarios and compare different TPU accelerators to help you choose the right fit. You'll learn strategies to maximize performance and efficiency for your AI models and understand the significance of GPU/TPU interoperability for flexible machine learning workflows. Through engaging content and practical demos, we'll guide you step-by-step in leveraging TPUs effectively.
AI Infrastructure: Cloud TPUs
AI Infrastructure: Cloud TPUs
This course is part of Google Cloud AI Infrastructure Specialization
Instructor: Google Cloud Training
Access provided by The Adult Learning Department at DCPL
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
3 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Discuss the advantages and disadvantages of using TPUs in different scenarios.
Choose the right TPU option to fit your specific needs
Implement strategies to maximize performance and efficiency when running business-related AI workloads on TPUs.
Explain the concept of GPU/TPU fungibility and its significance for creating flexible machine learning workflows.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
Taught in English
Recently updated!
August 2025
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This course is part of the Google Cloud AI Infrastructure Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 2 modules in this course
This course will equip you to explain how Google's Tensor Processing Units (TPUs) can help business AI workloads. We'll explore the advantages and disadvantages of TPUs in various scenarios and compare different TPU accelerators to help you choose the right fit. You'll learn strategies to maximize performance and efficiency for your AI models and understand the significance of GPU/TPU interoperability for flexible machine learning workflows. Through engaging content and practical demos, we'll guide you step-by-step in leveraging TPUs effectively.
What's included
1 assignment11 plugins
Student PDF links to all modules
What's included
1 reading
Earn a career certificate
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