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Updated in [May 19th, 2023]

This course provides an overview of how to deploy and manage cloud environments with Google Cloud. Participants will learn how to deploy and manage a containerized application using Google Kubernetes Engine and kubectl, launch a VM-based application using Cloud Deployment Manager, and then monitor and stress the application. Additionally, participants will learn how to deploy continuous delivery pipelines using Google Kubernetes Engine and Spinnaker, create and control access to multiple VPC networks, and configure and use Cloud Monitoring to troubleshoot breaks in applications. Upon completion of the course, participants will receive a skill badge issued by Google Cloud in recognition of their proficiency with Google Cloud products and services.

[Applications]
Upon completion of the Deploy and Manage Cloud Environments with Google Cloud course, learners can apply their knowledge to deploy and manage containerized applications using Google Kubernetes Engine and kubectl, launch a VM-based application using Cloud Deployment Manager, deploy continuous delivery pipelines using Google Kubernetes Engine and Spinnaker, create and control access to multiple VPC networks, and configure and use Cloud Monitoring to troubleshoot breaks in applications. Learners can also earn a skill badge by completing the Deploy and Manage Cloud Environments with Google Cloud quest and final assessment challenge lab.

[Career Paths]
1. Cloud Engineer: Cloud Engineers are responsible for designing, deploying, and managing cloud-based systems. They must be knowledgeable in cloud computing technologies, such as Google Cloud Platform, Amazon Web Services, and Microsoft Azure. They must also be able to develop and maintain cloud-based applications, as well as troubleshoot any issues that arise. As cloud computing continues to grow in popularity, the demand for Cloud Engineers is expected to increase.

2. DevOps Engineer: DevOps Engineers are responsible for automating the development, testing, and deployment of applications. They must be knowledgeable in cloud computing technologies, such as Google Cloud Platform, Amazon Web Services, and Microsoft Azure. They must also be able to develop and maintain cloud-based applications, as well as troubleshoot any issues that arise. As cloud computing continues to grow in popularity, the demand for DevOps Engineers is expected to increase.

3. Cloud Security Engineer: Cloud Security Engineers are responsible for designing, deploying, and managing cloud-based security systems. They must be knowledgeable in cloud computing technologies, such as Google Cloud Platform, Amazon Web Services, and Microsoft Azure. They must also be able to develop and maintain cloud-based security applications, as well as troubleshoot any security issues that arise. As cloud computing continues to grow in popularity, the demand for Cloud Security Engineers is expected to increase.

4. Cloud Architect: Cloud Architects are responsible for designing, deploying, and managing cloud-based architectures. They must be knowledgeable in cloud computing technologies, such as Google Cloud Platform, Amazon Web Services, and Microsoft Azure. They must also be able to develop and maintain cloud-based architectures, as well as troubleshoot any issues that arise. As cloud computing continues to grow in popularity, the demand for Cloud Architects is expected to increase.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path focuses on the fundamentals of computer science, such as programming, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. This degree path is ideal for those looking to develop a strong foundation in computer science and pursue a career in the field.

2. Master of Science in Cloud Computing: This degree path focuses on the development and management of cloud computing systems. It covers topics such as cloud architecture, cloud security, cloud storage, and cloud networking. This degree path is ideal for those looking to specialize in cloud computing and pursue a career in the field.

3. Master of Science in Data Science: This degree path focuses on the analysis and interpretation of large datasets. It covers topics such as data mining, machine learning, and data visualization. This degree path is ideal for those looking to specialize in data science and pursue a career in the field.

4. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems. It covers topics such as natural language processing, computer vision, and robotics. This degree path is ideal for those looking to specialize in artificial intelligence and pursue a career in the field.

The demand for professionals with expertise in cloud computing, data science, and artificial intelligence is growing rapidly. As businesses move to the cloud, they need professionals who can help them deploy and manage cloud environments. Data science and artificial intelligence are also becoming increasingly important as businesses look to leverage data to gain insights and make better decisions. As such, these degree paths are becoming increasingly popular and are expected to continue to grow in demand in the coming years.

Course Syllabus

Orchestrating the Cloud with Kubernetes

Continuous Delivery Pipelines with Spinnaker and Kubernetes Engine

Multiple VPC Networks

Troubleshooting Workloads on GKE for Site Reliability Engineers

Deploy and Manage Cloud Environments with Google Cloud: Challenge Lab