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The Self-Taught Cloud Computing Engineer. A comprehensive professional study guide to AWS, Azure, and GCP Dr. Logan Song, Yu Meng

Język publikacji: angielskim
The Self-Taught Cloud Computing Engineer. A comprehensive professional study guide to AWS, Azure, and GCP Dr. Logan Song, Yu Meng - okladka książki

The Self-Taught Cloud Computing Engineer. A comprehensive professional study guide to AWS, Azure, and GCP Dr. Logan Song, Yu Meng - okladka książki

Autorzy:
Dr. Logan Song, Yu Meng
Serie wydawnicze:
Learn
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
472
Dostępne formaty:
     PDF
     ePub

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Do przechowalni

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.

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O autorze książki

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.

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