Logan Song

The Self-Taught Cloud Computing Engineer (eBook, ePUB)

A comprehensive professional study guide to AWS, Azure, and GCP

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 472
• Erscheinungstermin: 22. September 2023
• Englisch
• ISBN-13: 9781805128687
• Artikelnr.: 69178893

Autorenporträt

Dr. Logan Song is the enterprise cloud director and chief cloud architect at Dito. With 25+ years of professional experience, Dr. Song is highly skilled in enterprise information technologies, specializing in cloud computing and machine learning. He is a Google Cloud-certified professional solution architect and machine learning engineer, an AWS-certified professional solution architect and machine learning specialist, and a Microsoft-certified Azure solution architect expert. Dr. Song holds a Ph.D. in industrial engineering, an MS in computer science, and an ME in management engineering. Currently, he is also an adjunct professor at the University of Texas at Dallas, teaching cloud computing and machine learning courses.