The Self-Taught Cloud Computing Engineer
Packt Publishing Limited (Verlag)
978-1-80512-370-5 (ISBN)
Key Features
Learn all about cloud computing at your own pace with this easy-to-follow guide
Develop a well-rounded skill set, encompassing fundamentals, data, machine learning, and security
Work on real-world industrial projects and business use cases, and chart a path for your personal cloud career advancement
Purchase of the print or Kindle book includes a free PDF eBook
Book DescriptionThe 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.What you will learn
Develop the core skills needed to work with cloud computing platforms such as 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 a multi-cloud environment
Secure cloud infrastructure ecosystems with advanced cloud security services
Who this book is forWhether you're new to cloud computing or a seasoned professional looking to expand your expertise, this book is for anyone in the information technology domain who aspires to thrive in the realm of cloud computing. With this comprehensive roadmap, you’ll have the tools to build 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.
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
| Erscheinungsdatum | 08.08.2023 |
|---|---|
| Vorwort | Yu Meng |
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Mathematik / Informatik ► Informatik ► Web / Internet | |
| ISBN-10 | 1-80512-370-X / 180512370X |
| ISBN-13 | 978-1-80512-370-5 / 9781805123705 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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