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Google Cloud for Developers

You're reading from   Google Cloud for Developers Write, migrate, and extend your code by leveraging Google Cloud

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781837630745
Length 364 pages
Edition 1st Edition
Languages
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Authors (2):
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Hector Parra Martinez Hector Parra Martinez
Author Profile Icon Hector Parra Martinez
Hector Parra Martinez
Isaac Hernández Vargas Isaac Hernández Vargas
Author Profile Icon Isaac Hernández Vargas
Isaac Hernández Vargas
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Toc

Table of Contents (20) Chapters Close

Preface 1. Part 1: Foundations of Developing for Google Cloud
2. Chapter 1: Choosing Google Cloud FREE CHAPTER 3. Chapter 2: Modern Software Development in Google Cloud 4. Chapter 3: Starting to Develop on Google Cloud 5. Part 2: Basic Google Cloud Services for Developers
6. Chapter 4: Running Serverless Code on Google Cloud – Part 1 7. Chapter 5: Running Serverless Code on Google Cloud – Part 2 8. Chapter 6: Running Containerized Applications with Google Kubernetes Engine 9. Chapter 7: Managing the Hybrid Cloud with Anthos 10. Part 3: Extending Your Code – Using Google Cloud Services and Public APIs
11. Chapter 8: Making the Best of Google Cloud Networking 12. Chapter 9: Time-Saving Google Cloud Services 13. Chapter 10: Extending Applications with Google Cloud Machine Learning APIs 14. Part 4: Connecting the Dots –Building Hybrid Cloud Solutions That Can Run Anywhere
15. Chapter 11: Architecture Patterns for Hybrid and Multi-Cloud Solutions 16. Chapter 12: Practical Use Cases of Google Cloud in Real-World Scenarios 17. Chapter 13: Migration Pitfalls, Best Practices, and Useful Tips 18. Index 19. Other Books You May Enjoy

Extending Applications with Google Cloud Machine Learning APIs

The previous chapter covered Google Services that we can use as building blocks for our applications and services to make our development faster. Another way of achieving this purpose is using public APIs to integrate advanced services, providing features that we wouldn’t be able to develop otherwise due to limitations in our budget, time, or even our knowledge and skills.

Google Cloud provides some remarkably interesting machine learning models that have been trained with huge amounts of data and can help us convert our unstructured data into structured data, a topic we will cover at the beginning of this chapter.

These models can be easily integrated into our code using their corresponding Application Programming Interface (API) and will add useful features to our applications, such as audio-to-text conversion, text translation, or insight extraction from text, images, or videos.

If you are interested...

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