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Professional Cloud Architect –  Google Cloud Certification Guide

Professional Cloud Architect – Google Cloud Certification Guide

By : Konrad Cłapa , Gerrard
4.5 (17)
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Professional Cloud Architect –  Google Cloud Certification Guide

Professional Cloud Architect – Google Cloud Certification Guide

4.5 (17)
By: Konrad Cłapa , Gerrard

Overview of this book

Google Cloud Platform (GCP) is one of the leading cloud service suites and offers solutions for storage, analytics, big data, machine learning, and application development. It features an array of services that can help organizations to get the best out of their infrastructure. This comprehensive guide covers a variety of topics specific to Google's Professional Cloud Architect official exam syllabus and guides you in using the right methods for effective use of GCP services. You'll start by exploring GCP, understanding the benefits of becoming a certified architect, and learning how to register for the exam. You'll then delve into the core services that GCP offers such as computing, storage, and security. As you advance, this GCP book will help you get up to speed with methods to scale and automate your cloud infrastructure and delve into containers and services. In the concluding chapters, you'll discover security best practices and even gain insights into designing applications with GCP services and monitoring your infrastructure as a GCP architect. By the end of this book, you will be well versed in all the topics required to pass Google's Professional Cloud Architect exam and use GCP services effectively.
Table of Contents (26 chapters)
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1
Section 1: Introduction to GCP
5
Section 2: Managing, Designing, and Planning a Cloud Solution Architecture
15
Section 3: Designing for Security and Compliance
17
Section 4: Managing Implementation
19
Section 5: Ensuring Solution and Operations Reliability
21
Section 6: Exam Focus

Putting Machine Learning to Work

As we have already mentioned, machine learning (ML) is one of the differentiators of the Google Cloud Platform (GCP). You should pay special attention to this chapter, as you will be learning that you don't actually need to be a data scientist to leverage ML in your applications. Google has options for both beginners and highly experienced consumers. ML can be quite an intimidating topic for many people but, hopefully, we will be able to explain the basic underlying concepts by means of easy examples. Having that understanding, we will then be able to look at the ML services that we can use in GCP. Hopefully, you are as excited about this chapter as we were when writing it.

In this chapter, we will cover the following topics:

  • An introduction to AI and ML
  • The seven steps of ML
  • Learning models
  • GCP ML options
  • TensorFlow
  • Cloud ML Engine
  • Pretrained...

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