AWS MasterClass: DevOps w/ AWS Command Line Interface (CLI)
Learn AWS Command Line Interface to manage your AWS cloud resources. Use AWS CLI to automate your AWS cloud services.
4.40 (619 reviews)
6 144
students
5.5 hours
content
Feb 2019
last update
$69.99
regular price
What you will learn
Learn about various commands available in the CLI to manage your AWS cloud resources
Learn how to manage various AWS services like EC2, IAM, ELB etc.
Learn how to apply DevOps practices and automate your AWS cloud infrastructure
Learn how to use AWS CLI commands in conjunction with shell scripting
Learning how to launch and manage new EC2 instances with AWS CLI commands
Learning how to launch and manage new ELB instances with AWS CLI commands
Learning how to manage IAM objects with AWS CLI commands
And much much more....
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Our Verdict
The AWS MasterClass on DevOps and AWS Command Line Interface (CLI) proves beneficial for those new to AWS or seeking a better understanding of managing AWS cloud resources via CLI. With real-life examples, quizzes, and insights into JSON returned by the API, it provides an engaging experience, though updated command options and corrected quiz answers would be welcome improvements. Linux users may find this course especially appealing due to its focus on that platform after a brief Windows installation guide.
What We Liked
- Comprehensive coverage of AWS CLI commands for managing AWS cloud resources
- Effective use of quizzes at the end of each section to reinforce understanding
- Provides insights into JSON returned by API, essential for CLI scripting
- Engaging instruction and real-life examples make learning enjoyable
Potential Drawbacks
- Some areas need updates, as command options have changed since creation
- Instructor's accent may be difficult to get used to for some learners
- Linux demonstrated exclusively throughout after quick Windows installation guide
- Quiz answers sometimes do not accept the correct answer; incorrect quiz questions
Related Topics
1278524
udemy ID
03/07/2017
course created date
22/11/2019
course indexed date
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