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This 2-week, accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform with a focus on Compute Engine. Through a combination of video lectures, demos, and...
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This 2-week, accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud Platform through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.
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Good to know

Know what's good
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Develops infrastructure design understanding, which is core for cloud architects
Examines virtual networking configuration, which is relevant for cloud infrastructure
Explores Google Cloud Platform, which is highly relevant to industry
Teaches Google Cloud Platform console and Cloud Shell, which helps learners use industry tools
Builds a foundation for beginners in infrastructure and platform services

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Activities

Coming soon We're preparing activities for Essential Cloud Infrastructure - Foundation. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Essential Cloud Infrastructure - Foundation will develop knowledge and skills that may be useful to these careers:
Cloud Architect
Cloud Architects design, build, and manage cloud computing solutions. They work with customers to understand their business needs and develop a cloud strategy that meets those needs. This course may be useful for Cloud Architects who want to learn more about Google Cloud Platform and how to use its services to build and manage cloud solutions.
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models. They work with data to develop models that can be used to automate tasks and make predictions. This course may be useful for Machine Learning Engineers who want to learn more about Google Cloud Platform and how to use its services to build and deploy machine learning models.
Software Engineer
Software Engineers design, develop, and test software systems and applications. They use their programming knowledge to solve problems, create new functions, and develop software solutions that meet the needs of users. This course may be useful for Software Engineers who want to learn more about Google Cloud Platform and how to use its services to build and deploy software applications.
IT Auditor
IT Auditors evaluate the effectiveness of IT systems and controls. They work to ensure that IT systems are aligned with business goals and are meeting the needs of the organization. This course may be useful for IT Auditors who want to learn more about Google Cloud Platform and how to use its services to audit cloud environments.
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful for Information Security Analysts who want to learn more about Google Cloud Platform and how to use its services to secure cloud environments.
Data Engineer
Data Engineers design, build, and manage data pipelines. They work with data to develop insights that can be used to improve business decisions. This course may be useful for Data Engineers who want to learn more about Google Cloud Platform and how to use its services to build and manage data pipelines.
DevOps Engineer
DevOps Engineers are responsible for bridging the gap between software development and IT operations. They work to ensure that software is developed and deployed quickly and efficiently, while also maintaining its quality and security. This course may be useful for DevOps Engineers who want to learn more about Google Cloud Platform and how to use its services to automate and streamline the software development and deployment process.
IT Manager
IT Managers are responsible for planning, implementing, and managing IT systems. They work to ensure that IT systems are aligned with business goals and are meeting the needs of the organization. This course may be useful for IT Managers who want to learn more about Google Cloud Platform and how to use its services to build and manage cloud solutions.
Network Engineer
Network Engineers design, build, and manage computer networks. They work to ensure that networks are running smoothly and securely. This course may be useful for Network Engineers who want to learn more about Google Cloud Platform and how to use its services to build and manage cloud networks.
Systems Administrator
Systems Administrators are responsible for maintaining and managing computer systems. They work to ensure that systems are running smoothly and securely. This course may be useful for Systems Administrators who want to learn more about Google Cloud Platform and how to use its services to manage cloud infrastructure.
Cloud Security Engineer
Cloud Security Engineers are responsible for securing cloud computing environments. They work to protect data, applications, and infrastructure from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful for Cloud Security Engineers who want to learn more about Google Cloud Platform and how to use its services to secure cloud environments.
Penetration Tester
Penetration Testers assess the security of computer systems and networks. They work to identify vulnerabilities that could be exploited by attackers. This course may be useful for Penetration Testers who want to learn more about Google Cloud Platform and how to use its services to assess the security of cloud environments.
Security Architect
Security Architects design and implement security solutions for computer systems and networks. They work to protect data, applications, and infrastructure from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful for Security Architects who want to learn more about Google Cloud Platform and how to use its services to design and implement security solutions for cloud environments.
Data Scientist
Data Scientists use scientific methods to extract knowledge from data. They work with data to develop models that can be used to predict future outcomes. This course may be useful for Data Scientists who want to learn more about Google Cloud Platform and how to use its services to build and deploy machine learning models.
Cloud Consultant
Cloud Consultants help businesses to adopt and use cloud computing technologies. They work with businesses to understand their business needs and develop a cloud strategy that meets those needs. This course may be useful for Cloud Consultants who want to learn more about Google Cloud Platform and how to use its services to help businesses adopt cloud computing.

Reading list

We've selected three books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Essential Cloud Infrastructure - Foundation.
Provides a comprehensive overview of Google Cloud Platform (GCP) and is quite helpful for those new to the subject, despite the fact that it is not specifically tailored to this course. It provides a solid foundation in GCP fundamentals, making it a valuable reference tool.
This book, which is commonly used as a textbook at academic institutions, offers a thorough examination of cloud computing ideas, technologies, and architectures. Although it is not specific to GCP, it gives a solid background and will assist students in understanding the wider context of cloud computing.
This book, although not specific to GCP, delves into the design and implementation of data-intensive applications. It provides a strong theoretical foundation and practical advice that can be applied to GCP environments.

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