This course is the final course in a series that aims to prepare you for a role working as a programmer. In this course we will look at several automation concepts in DevOps with Python. Labs will allow the students to apply the material in the lectures in simple computer programs designed to re-enforce the material in the lesson.
DevOps and Build Automation with Python
DevOps and Build Automation with Python
This course is part of Python Scripting for DevOps Specialization
Instructor: Aspen Olmsted
Sponsored by ITC-Infotech
4,386 already enrolled
Gain insight into a topic and learn the fundamentals.
3.9
(55 reviews)
Beginner level
Recommended experience
13 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Develop computer programs that utilize classes and objects to solve business and mathematical problems
Skills you'll gain
- Python Programming
- Continuous Deployment
- Application Deployment
- Devops Tools
- Cloud-Native Computing
- Development Testing
- DevOps
- Software Configuration Management
- Containerization
- Package and Software Management
- Docker (Software)
- Computer Programming
- Linux Administration
- Test Automation
- Scripting Languages
- Cloud Engineering
- Unit Testing
- Scripting
- Software Testing
- Software Quality Assurance
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
16 assignments
Taught in English
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This course is part of the Python Scripting for DevOps Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
In this module, we look at how we can install and utilize PIP to manage library packages.
What's included
4 videos3 readings4 assignments1 discussion prompt1 ungraded lab
In this module, we look at how to utilize Python for Testing. We will discuss automated and manual testing. We will discuss unit tests and integration testing. We will conclude with a look at writing unit tests.
What's included
4 videos3 readings4 assignments1 discussion prompt1 ungraded lab
In this module, we extend our toolset of Python by looking at utilize Python to script the web browser. We look at the Python port of the puppeteer JavaScript headless library to Python in the library named pyppeteer.
What's included
3 videos3 readings4 assignments1 discussion prompt
In this module, we look at containers. Containers allow developers to have a control environment to test and deploy their applications. We will specifically look at Docker and container automation with Python.
What's included
3 videos3 readings4 assignments1 discussion prompt
Instructor
Instructor ratings
3.3 (13 ratings)Offered by
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AW
5
Reviewed on May 19, 2021
I really enjoyed this course and the whole series!
Recommended if you're interested in Computer Science
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