Course Includes:
- Price: FREE
- Enrolled: 11588 students
- Language: English
- Certificate: Yes
- Difficulty: Advanced
YAML is one of the languages that has gained popularity in recent times. Applications such as OpenAPI, Swagger, DevOps, and Kubernetes use YAML to create human-readable configurations at a large scale. What is the key element in such integrations? You need to write YAML code so that it can be understood easily by developers. You will be learning about YAML language constructs from scratch in this course.
In this course, you will learn about JSON, YAML, and JSONPath.
In the first part, you will learn about JSON. JSON is primarily used in web development, where the data is being stored and transmitted. This is slowly replacing the XML.
Once you get comfortable with it, we will move on to the second part, which is YAML. YAML is primarily used in Tools such as Ansible and Kubernetes.
Finally, in part-3, you will learn about JSONPath. JSONPath is used to extract a subset of data from JSON files. This is similar to SQL for relational Databases.
Topics Covered In This Course
Understand YAML and how it is different from JSON in usage.
Learn the various data types available including scalar and collection types.
Understand the different YAML styles namely Block Style and Flow Style.
Use advanced YAML features like Anchors, Sets, and Documents that help to create a rich YAML file.
Use Directives to provide presentation details to YAML tools.
Use Tags to avoid ambiguity and define custom types in a namespace.
Create an OpenAPI document using YAML in Swagger Editor.
Lots of activities to apply the learnings.
and Many More!
More Reasons To Take This Course
The scope of YAML usage is increasing in the computing field.
YAML is the 1st choice among API developers while working with OpenAPIs.
Get ahead of the curve and learn to configure applications using YAML with ease.
Who This Course Is For?
Web Developers who work with APIs and web services that are based on OpenAPI standards.
Software Developers, who work with Kubernetes to enable cloud computing for their applications.
Engineers, who use DevOps to configure the Pipeline for CI/CD.
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