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Self-Taught Cloud Computing Engineer: A comprehensive professional study guide to AWS, Azure, and GCP [Pehme köide]

Foreword by ,
  • Formaat: Paperback / softback, 472 pages, kõrgus x laius: 235x191 mm
  • Ilmumisaeg: 22-Sep-2023
  • Kirjastus: Packt Publishing Limited
  • ISBN-10: 180512370X
  • ISBN-13: 9781805123705
Teised raamatud teemal:
  • Formaat: Paperback / softback, 472 pages, kõrgus x laius: 235x191 mm
  • Ilmumisaeg: 22-Sep-2023
  • Kirjastus: Packt Publishing Limited
  • ISBN-10: 180512370X
  • ISBN-13: 9781805123705
Teised raamatud teemal:
Transform into a cloud-savvy professional by mastering cloud technologies through hands-on projects and expert guidance, paving the way for a thriving cloud computing career

Key Features

Gain a solid foundation in cloud computing with a structured, easy-to-follow guide Develop practical skills across AWS, Azure, and Google Cloud, covering compute, storage, networking, data, security, and AI Work on real life industrial projects, business use cases, and personal cloud career development Purchase of the print or Kindle book includes a free PDF eBook

Book DescriptionAs 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, youll be introduced to fundamental AWS cloud services, followed by advanced AWS cloud services in the domains of data, machine learning, and security. Next, youll 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, youll 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, youll 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.What you will learn

Develop core skills needed to work with AWS, Azure, and GCP Gain proficiency in compute, storage, and networking services across multi-cloud and hybrid-cloud environments Integrate cloud databases, big data, and machine learning services in multi-cloud environments Design and develop data pipelines, encompassing data ingestion, storage, processing, and visualization in the clouds Implement machine learning pipelines in multi-cloud environment Secure cloud infrastructure ecosystems with advanced cloud security services

Who this book is forThis book is ideal for IT professionals looking to transition into cloud computing, as well as experienced cloud practitioners seeking to deepen their knowledge. Whether you're a beginner with basic computing experience or an industry professional aiming to expand your expertise, this comprehensive guide provides the skills and insights needed to excel in the cloud domain.
Table of Contents

Amazon EC2 and Cloud Compute Services
Amazon Cloud Storage Services
Amazon Cloud Networking Services
Amazon Cloud Database Services
Amazon Cloud Big Data Services
Amazon Cloud Machine Learning Services
Amazon Cloud Security Services
Google Cloud Foundation Services
Google Cloud Data Services
Google Cloud AI Services
Google Cloud Security Services
Azure Cloud Foundation Services
Azure Cloud Data Services
Azure Cloud AI Services
Azure Cloud Security Services
Achieving Cloud Certifications
Building a Successful Cloud Computing Career
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.