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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

**Automation** is a critical piece of the puzzle to achieve the speed and agility that cloud-native brings.

Automation happens on two levels:

## Automated deployments
With CI/CD, teams automate the release of application updates to customers by writing scripts that run on build and release pipelines.




**Automation** is a critical piece of the puzzle to achieve the speed and agility that cloud-native brings.

Automation happens on two levels:

# Automated deployments
With CI/CD, teams automate the release of application updates to customers by writing scripts that run on build and release pipelines.




Learn about automation with cloud-native applications.

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

Building Blocks Part-3: Automation

Automated deployments