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  • Book Overview & Buying The Self-Taught Cloud Computing Engineer
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The Self-Taught Cloud Computing Engineer

The Self-Taught Cloud Computing Engineer

By : Dr. Logan Song
5 (180)
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The Self-Taught Cloud Computing Engineer

The Self-Taught Cloud Computing Engineer

5 (180)
By: Dr. Logan Song

Overview of this book

As cloud computing continues to revolutionize IT, professionals face the challenge of keeping up with rapidly evolving technologies. This book provides a clear roadmap for mastering cloud concepts, developing hands-on expertise, and obtaining professional certifications, making it an essential resource for those looking to advance their careers in cloud computing. Starting with a focus on the Amazon cloud, you’ll be introduced to fundamental AWS cloud services, followed by 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, differentiating their unique features, along with leveraging real-life cloud project implementations on these cloud platforms. Through hands-on projects and real-world applications, you’ll gain the skills needed to work confidently across different cloud platforms. The book concludes with career development guidance, including certification paths and industry insights to help you succeed in the cloud computing landscape. Walking through this cloud computing book, you’ll systematically establish a robust footing in AWS, Azure, and GCP, and emerge as a cloud-savvy professional, equipped with cloud certificates to validate your skills.
Table of Contents (24 chapters)
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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 AI Services

Google Cloud provides a set of AI tools and services for developers to build, train, and deploy ML models at scale. Google Cloud AI services provide the ability to build custom machine learning (ML) models using Vertex AI, which is a fully managed machine learning platform that allows developers and data scientists to build, train, and deploy machine learning models from end to end. Google Cloud AI also offers services based on pre-trained models and APIs for common ML tasks, such as image and speech recognition, natural language processing (NLP), and other predictive analytics. Google Cloud AI services integrate seamlessly with other GCP services and tools for data preprocessing, training, monitoring, and evaluation. In this chapter, we will cover the following topics:

  • Google Vertex AI: This is a suite of services for users to develop ML models, including data collection, labeling, training, deploying automated machine learning (AutoML), and other...
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The Self-Taught Cloud Computing Engineer
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