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Professional Cloud Architect Google Cloud Certification Guide

You're reading from   Professional Cloud Architect Google Cloud Certification Guide Build a solid foundation in Google Cloud Platform to achieve the most lucrative IT certification

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Product type Paperback
Published in Dec 2021
Publisher Packt
ISBN-13 9781801812290
Length 664 pages
Edition 2nd Edition
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Authors (2):
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Konrad Cłapa Konrad Cłapa
Author Profile Icon Konrad Cłapa
Konrad Cłapa
Brian Gerrard Brian Gerrard
Author Profile Icon Brian Gerrard
Brian Gerrard
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Toc

Table of Contents (25) Chapters Close

Preface 1. Section 1: Introduction to GCP
2. Chapter 1: GCP Cloud Architect Professional FREE CHAPTER 3. Chapter 2: Getting Started with Google Cloud Platform 4. Chapter 3: Google Cloud Platform Core Services 5. Section 2: Manage, Design, and Plan a Cloud Solution Architecture
6. Chapter 4: Working with Google Compute Engine 7. Chapter 5: Exploring Google App Engine as a Compute Option 8. Chapter 6: Managing Kubernetes Clusters with Google Kubernetes Engine 9. Chapter 7: Deploying Cloud-Native Workloads with Cloud Run 10. Chapter 8: Managing Cloud-Native Workloads with Anthos 11. Chapter 9: Running Serverless Functions with Google Cloud Functions 12. Chapter 10: Networking Options in GCP 13. Chapter 11: Exploring Storage and Database Options in GCP – Part 1 14. Chapter 12: Exploring Storage and Database Options in GCP – Part 2 15. Chapter 13: Analyzing Big Data Options 16. Chapter 14: Putting Machine Learning to Work 17. Section 3: Secure, Manage and Monitor a Google Cloud Solution
18. Chapter 15: Security and Compliance 19. Chapter 16: Google Cloud Management Options 20. Chapter 17: Monitoring Your Infrastructure 21. Section 4: Exam Focus
22. Chapter 18: Case Studies 23. Chapter 19: Test Your Knowledge 24. Other Books You May Enjoy

Pretrained ML models

Google's pretrained models can be used to perform predictions without us needing any knowledge of how ML works. All of the models are accessible using APIs and can be directly consumed from your application. The data for prediction is delivered using a JSON file or is stored on Cloud Storage. There are currently a number of models available, as follows:

  • The Cloud Speech-to-Text API
  • The Cloud Text-to-Speech API
  • The Cloud Translation API
  • The Cloud Natural Language API
  • The Cloud Vision API
  • The Cloud Video Intelligence API

Let's have a quick look at each of them.

The Cloud Speech-to-Text API

The Cloud Speech-to-Text API empowers developers with the ability to turn speech into text. This API accepts received audio and returns a text transcription. This API can be used synchronously, asynchronously, or in a streaming model. Many languages and dialects are supported. For a full list, check the Further reading section...

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