Become a cloud pro by exploring diverse career paths in cloud engineering. Get hands-on with planning, designing, and managing cloud applications. No setup, no cleanup, no hassle.

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With time, the complexity of computational models has significantly increased. Practically, it doesn’t seem convenient to perform all computationally expensive tasks on individual computers. It results in increased dependence and demand for cloud services. This course introduces and navigates through possible career choices in cloud computing.

The course will introduce you to various cloud computing services and different service models. Next, you’ll navigate through different career choices in the field of cloud computing and conclude with the requirements of each career choice. 

By the end of this course, you’ll understand the basics of cloud engineering and the responsibilities of a cloud engineer—planning, designing, monitoring, and managing cloud applications within an organization. This working knowledge will enable you to become a specialized cloud engineer in cloud software engineering and cloud security.

Navigating Cloud Engineering as a Career Path

Following are the phases that are part of the DevOps lifecycle:

## Planning
In this phase, teams scope out features of the application they are trying to build. They prioritize tasks and track the progress of each task. In this phase, a backlog of value-adding features and bugs that need to be fixed are created for the team to follow.

## Development
This is where the software developers build new features by writing, reviewing, and testing their code based on the work items in the backlog.

## Continuous integration
The new code is integrated into the existing codebase and tested in this phase. After that, an updated artifact or executable is created and ready for deployment. 

## Deployment
Here, the build output (executable or artifact) from the continuous integration step is deployed to the environments the team uses. Typically, teams have development and staging environments that are different from their customers' production environments. When the new change is deployed to the non-production environment and errors are detected, they easily roll back changes to prevent buggy features from getting rolled out to customers.


# Planning
In this phase, teams scope out features of the application they are trying to build. They prioritize tasks and track the progress of each task. In this phase, a backlog of value-adding features and bugs that need to be fixed are created for the team to follow.

# Development
This is where the software developers build new features by writing, reviewing, and testing their code based on the work items in the backlog.

# Continuous integration
The new code is integrated into the existing codebase and tested in this phase. After that, an updated artifact or executable is created and ready for deployment. 

# Deployment
Here, the build output (executable or artifact) from the continuous integration step is deployed to the environments the team uses. Typically, teams have development and staging environments that are different from their customers' production environments. When the new change is deployed to the non-production environment and errors are detected, they easily roll back changes to prevent buggy features from getting rolled out to customers.


Learn about the phases of the DevOps lifecycle.

Brief History of Computing and the Internet

Cloud Computing

Cloud Service Models

Cloud Engineering Career Paths

Requirements for Cloud Engineering Career Paths

Cloud-native Applications

Conclusion

The DevOps Lifecycle

Planning

Development