Book Image

The Self-Taught Cloud Computing Engineer

By : Dr. Logan Song
Book Image

The Self-Taught Cloud Computing Engineer

By: Dr. Logan Song

Overview of this book

The Self-Taught Cloud Computing Engineer is a comprehensive guide to mastering cloud computing concepts by building a broad and deep cloud knowledge base, developing hands-on cloud skills, and achieving professional cloud certifications. Even if you’re a beginner with a basic understanding of computer hardware and software, this book serves as the means to transition into a cloud computing career. Starting with the Amazon cloud, you’ll explore the fundamental AWS cloud services, then progress to advanced AWS cloud services in the domains of data, machine learning, and security. Next, you’ll build proficiency in Microsoft Azure Cloud and Google Cloud Platform (GCP) by examining the common attributes of the three clouds while distinguishing their unique features. You’ll further enhance your skills through practical experience on these platforms with real-life cloud project implementations. Finally, you’ll find expert guidance on cloud certifications and career development. By the end of this cloud computing book, you’ll have become a cloud-savvy professional well-versed in AWS, Azure, and GCP, ready to pursue cloud certifications to validate your skills.
Table of Contents (24 chapters)
1
Part 1: Learning about the Amazon Cloud
9
Part 2:Comprehending GCP Cloud Services
14
Part 3:Mastering Azure Cloud Services
19
Part 4:Developing a Successful Cloud Career

Google Cloud Vertex AI

Vertex AI is an integrated set of products, features, and a management interface that simplifies the management of Google Cloud ML services. Vertex AI lets users build, train, and deploy ML models. As shown in Figure 10.1, Vertex AI unifies a set of disparate features and has a user interface that makes it easy to develop and integrate ML-related applications:

Figure 10.1 – Google Vertex AI suite

Figure 10.1 – Google Vertex AI suite

In this section, we will briefly discuss the following Vertex AI concepts first and then spotlight Vertex AI AutoML with a lab to train a simple ML model:

  • Vertex AI datasets
  • Vertex AI dataset labeling
  • Vertex AI Feature Store
  • Vertex AI Workbench and notebooks
  • Vertex AI custom models
  • Vertex Explainable AI
  • Vertex AI prediction
  • Vertex AI model monitoring
  • Vertex AI Pipelines
  • Vertex AI TensorBoard
  • Vertex AI Metadata
  • Vertex AI AutoML

Let us start looking at Vertex AI by looking at...