Introduction to YAML – A hands-on course
Introduction to YAML – A hands-on course, available at $49.99, has an average rating of 4.8, with 41 lectures, 2 quizzes, based on 86 reviews, and has 4741 subscribers.
You will learn about What is YAML The design goals of YAML All the syntax and components of YAML Use cases of YAML including Docker Compose and Kubernetes How to load and dump YAML content with Python This course is ideal for individuals who are Begineer DevOps Engineer or Software Developers who work with YAML or Docker and Kubernetes Engineer It is particularly useful for Begineer DevOps Engineer or Software Developers who work with YAML or Docker and Kubernetes Engineer.
Enroll now: Introduction to YAML – A hands-on course
Summary
Title: Introduction to YAML – A hands-on course
Price: $49.99
Average Rating: 4.8
Number of Lectures: 41
Number of Quizzes: 2
Number of Published Lectures: 36
Number of Published Quizzes: 2
Number of Curriculum Items: 43
Number of Published Curriculum Objects: 38
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- What is YAML
- The design goals of YAML
- All the syntax and components of YAML
- Use cases of YAML including Docker Compose and Kubernetes
- How to load and dump YAML content with Python
Who Should Attend
- Begineer DevOps Engineer
- Software Developers who work with YAML
- Docker and Kubernetes Engineer
Target Audiences
- Begineer DevOps Engineer
- Software Developers who work with YAML
- Docker and Kubernetes Engineer
➡ Are you learning DevOps?
➡ Are you a computer science student?
➡ Are you a Programmer?
✅ Then, you should learn about YAML now!!
Welcome to our Introduction to YAML course! YAML is a powerful data serialization language that is widely used in a variety of applications and programming languages. Whether you’re a developer, system administrator, or just someone interested in data management, understanding the basics of YAML is essential.
This course is designed to provide you with a comprehensive introduction to YAML. It covers everything from the basic syntax and structure of YAML to advanced features and best practices. By the end of this course, you will have a solid understanding of what YAML is, how it works, and how to use it effectively.
The course is divided into several sections, each of which covers a specific aspect of YAML. We begin with an introduction to the course and an overview of the basics of YAML, including its syntax and structure. We then move on to cover more advanced topics such as data structures, comments, and anchors.
We also explore the use of YAML in different contexts, such as configuration files, data interchange, and programming languages. The course also covers best practices for working with YAML, including tips and tricks for debugging, testing, and validating YAML files.
In conclusion, this course provides a thorough introduction to YAML, its syntax, structure, usage, best practices and how it can be used effectively. It is designed to help anyone
YAML, which stands for “YAML Ain’t Markup Language,” is a human-readable data serialization format. It is often used for configuration files, data exchange between languages or systems, and application data storage. The course is aimed for developers, system administrators, and other technical professionals who want to learn how to use YAML effectively.
Learn one of the most popular data serialization languages i.e. YAML
✅ Complete YAML Tutorial
✅ A hands-on course where you will learn by doing
✅ Python code to load and dump YAML
✅ Follow along tutorial
✅ Highly rated
The course covers following topics
✔ Introduction to YAML and its use cases
✔ Basic YAML syntax and structure
✔ Creating and editing YAML files
✔ Commonly used YAML data types (strings, numbers, booleans, arrays, and dictionaries)
✔ Best practices for writing and maintaining YAML files
The hands-on excercises covers the following
✔ Practice creating and editing YAML files using a text editor – Player profile
✔ Create a YAML file from a JSON document
✔Write a Python script to parse and read data from a YAML file
By the end of the course, attendees will have a strong understanding of YAML and be able to use it effectively in their own projects. They will also gain experience in reading and writing YAML files and have a good understanding of the best practices to follow when working with YAML.
YAML is used in many applications, including OpenStack, Ansible, and Puppet, and is also supported by many programming languages, including Python, Ruby, and JavaScript. Learning YAML can help you become more proficient in these tools and technologies and make your work more efficient and streamlined.
Cheers,
Mohit
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Why you should learn more about YAML?
Lecture 3: What you should expect from this course?
Lecture 4: Introduction to YAML
Lecture 5: Feedback
Lecture 6: Github repository
Chapter 2: Introduction to YAML
Lecture 1: Section Introduction – Section 01
Lecture 2: What is YAML?
Lecture 3: YAML Development Timeline
Lecture 4: What is Data Serialization?
Lecture 5: YAML vs JSON vs XML
Lecture 6: YAML design goals
Lecture 7: YAML Syntax
Chapter 3: Understanding YAML Syntax
Lecture 1: Section Introduction – Understanding YAML Syntax
Lecture 2: System Setup
Lecture 3: Comments in YAML & Multiple steams in single Documents
Lecture 4: YAML File extension
Lecture 5: Mappings in YAML
Lecture 6: Scalars in YAML
Lecture 7: More Scalars
Lecture 8: Integers and Floats
Lecture 9: Booleans
Lecture 10: Sequences in YAML
Lecture 11: YAML Keys with Quotes
Lecture 12: Multiple Documents with YAML
Chapter 4: YAML Hands On
Lecture 1: Hands on overview
Lecture 2: Python code to read yaml document (optional)
Lecture 3: Hands on excercise 01 – Define a player profile
Lecture 4: Hands on excercise 02 – Define a player profile using a JSON document
Chapter 5: YAML Use cases
Lecture 1: Python – Load a YAML Document
Lecture 2: Python – Dump data to YAML document
Lecture 3: Python – Load a composite YAML document
Lecture 4: YAML use cases in Docker Compose, Kubernetes and AWS Cloudformation
Lecture 5: Interview questions
Chapter 6: Way forward
Lecture 1: Thank You
Lecture 2: Bonus Lecture
Instructors
-
Mohit Kumar
13+ years experience in Solution Design and Architecture -
Mohit Kumar
15+ years experience in Solution Design and Architecture
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 1 votes
- 3 stars: 17 votes
- 4 stars: 34 votes
- 5 stars: 33 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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