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.
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