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 generative AI services

Google Cloud generative AI services use large language models (LLMs) to recognize, predict, and generate human languages. They can be used in many business applications to drive new business opportunities. Figure 10.10 lists some generative AI use cases in Google Workspace applications.

Figure 10.10 – Generative AI use cases in Google Workspace

Figure 10.10 – Generative AI use cases in Google Workspace

Since the needs of enterprise customers are different from individual consumers and enthusiasts, Google Cloud generative AI focuses on enterprise business cases and environments. At this time, it offers Generative AI Studio, which includes three tabs: Overview, Language, and Speech, as shown in Figure 10.11.

Figure 10.11 – Generative AI Studio in Vertex AI

Figure 10.11 – Generative AI Studio in Vertex AI

In the Language tab, it provides starting points for prompts, conversations, and model tuning, as shown in Figure 10.12:

Figure 10.12 – Generative AI Studio Language tab

Figure 10.12 – Generative...