The Self-Taught Cloud Computing Engineer: A comprehensive professional study guide to AWS, Azure, and GCP
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| Publisher | Packt Publishing |
| ISBN 13 | 9781805123705 |
| ISBN 10 | 180512370X |
| Author | Dr Logan Song |
| Language | English |
| Book Description | Begin your exploration into cloud computing by developing deep knowledge of cloud technologies, enhancing hands-on skills, and achieving proficiency in cloudKey FeaturesTeach yourself all about cloud computing with this easy-to-follow guideDevelop a well-rounded skillset-from fundamentals to data, machine learning, and securityWork on real life industrial projects, business use cases, and personal cloud career developmentPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThis book is an all-inclusive guide for IT professionals to master cloud computing concepts by building a broad and deep cloud knowledge base, developing hands-on cloud skills, and achieving professional cloud certifications. If you're a beginner with basic computer hardware and software understanding, this book provides the means to transitions into a cloud computing career.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. Finally, you'll get guidance on cloud certifications and career development.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.What you will learnDevelop the core skills needed to work with cloud computing platforms such as AWS, Azure, and GCPGain proficiency in compute, storage, and networking services across multi-cloud and hybrid-cloud environmentsIntegrate cloud databases, big data, and machine learning services in multi-cloud environmentsDesign and develop data pipelines, encompassing data ingestion, storage, processing, and visualization in the cloudsImplement machine learning pipelines in multi-cloud environmentSecure cloud infrastructure ecosystems with advanced cloud security servicesWho this book is forWhether you're a beginner in cloud computing or an experienced professional seeking to expand your skills, this meticulously designed study book is for anyone in the information technology domain aiming to thrive in the realm of cloud computing. With this comprehensive roadmap, you'll have the tools to build a successful cloud computing career.Table of ContentsAmazon EC2 and Cloud Compute ServicesAmazon Cloud Storage ServicesAmazon Cloud Networking ServicesAmazon Cloud Database ServicesAmazon Cloud Big Data ServicesAmazon Cloud Machine Learning ServicesAmazon Cloud Security ServicesGoogle Cloud Foundation ServicesGoogle Cloud Data ServicesGoogle Cloud AI ServicesGoogle Cloud Security ServicesAzure Cloud Foundation ServicesAzure Cloud Data ServicesAzure Cloud AI ServicesAzure Cloud Security ServicesAchieving Cloud CertificationsBuilding a Successful Cloud Computing Career |
| About the Author | 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. |
| Publication Date | 22 September 2023 |
| Number of Pages | 472 pages |
The Self-Taught Cloud Computing Engineer: A comprehensive professional study guide to AWS, Azure, and GCP
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