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Aspen Olmsted
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/w2a3wk/devops
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What's inside
Syllabus
Package Managers
In this module, we look at how we can install and utilize PIP to manage library packages.
Testing
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.
Read more
Syllabus
Package Managers
In this module, we look at how we can install and utilize PIP to manage library packages.
Testing
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.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Provides hands-on labs and interactive materials to reinforce learning
Covers automation concepts in DevOps including package managers, testing, browser automation, and containers
Suitable for individuals preparing for a role as a programmer
Builds upon a series of previous courses, suggesting a comprehensive learning pathway
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Create your own learning path.
Save this course to your list so you can find it easily later.
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Reviews summary
Devops and python automation skills
According to learners, this course offers a strong foundation in DevOps and Python automation, explicitly aiming to prepare for a programmer role. Many highlight the practical hands-on labs, particularly for Docker automation and browser scripting with Python (pyppeteer), as highly valuable. The curriculum covers essential tools and testing methodologies effectively. However, some indicate that existing Python proficiency is beneficial, suggesting a prerequisite for optimal learning. The course provides a broad overview, and some found the topic depth to be introductory. Overall, it's considered a practical and relevant course for applying Python in a DevOps context.
Offers a broad introduction, not an exhaustive deep dive.
"The course covers many topics but at an introductory level; I'll need to do more self-study for advanced techniques."
"It provides a good overview of each automation concept without going into extreme detail for every tool."
"I found it a great starting point, but don't expect to become an expert in all listed technologies."
Builds a strong foundation for a programming role.
"This course is truly geared towards preparing you for a programmer role, covering essential automation skills."
"As someone looking to transition into a DevOps role, this course offered practical knowledge for building pipelines."
"It gave me the confidence to approach automation tasks at my job more effectively."
Explores essential tools like Docker and Pyppeteer.
"I appreciated the deep dive into Docker and how to automate it with Python; very relevant to my work."
"Learning about `pyppeteer` for browser automation was a unique and useful skill that I can immediately apply."
"The module on package managers and testing provided a solid foundation for practical development workflows."
Provides practical application through coding exercises.
"The labs are excellent; they really help solidify the concepts taught in the lectures."
"I found the hands-on coding and projects to be the strongest part of the course for me."
"Applying what I learned about Docker and Python in the exercises was incredibly helpful for understanding."
Requires foundational Python knowledge for optimal learning.
"I found the pace a bit fast, especially if you're not already comfortable with Python scripting and basic programming."
"While the course is great, I would recommend having a solid understanding of Python before diving in."
"Some sections felt a bit rushed if you weren't already familiar with the underlying concepts."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in DevOps and Build Automation with Python with these
activities:
Review Python Basics
Show steps
Ensure a solid foundation by refreshing your knowledge of core Python concepts before diving into automation.
Browse courses on
Python Programming
Show steps
-
Review online tutorials or documentation on Python basics.
-
Revisit introductory Python exercises or practice problems.
-
Attend a Python refresher course or workshop (optional).
-
Work on small Python coding projects to reinforce your understanding.
-
Discuss Python concepts with peers or mentors (optional).
Attend a Python Automation Workshop
Show steps
Expand your knowledge and network by attending a workshop dedicated to Python automation, providing you with expert insights and practical demonstrations.
Show steps
-
Research and find a reputable Python automation workshop.
-
Register and attend the workshop.
-
Actively participate in the workshop sessions and ask questions.
-
Connect with other attendees and industry professionals.
-
Follow up with the workshop organizers or speakers for further learning resources (optional).
Join a Python Automation Study Group
Show steps
Enhance your understanding and stay motivated by collaborating with peers in a dedicated Python automation study group.
Show steps
-
Find or start a study group focused on Python automation.
-
Set regular meeting times and stick to the schedule.
-
Work together on automation projects or assignments.
-
Discuss automation techniques, best practices, and challenges.
-
Provide feedback and support to other group members.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Share Your Automation Knowledge
Show steps
Reinforce your understanding of automation concepts by guiding and assisting other students in their learning journey.
Browse courses on
Python
Show steps
-
Join or start a study group or online forum related to Python or DevOps.
-
Offer help and guidance to others who are struggling with automation topics.
-
Create or contribute to online tutorials or resources on Python automation.
-
Participate in code review sessions and provide feedback on others' projects (optional).
-
Give a presentation or workshop on automation topics (optional).
Test Your Test Automation Skills
Show steps
Practice writing and running test automation scripts to solidify your understanding of Python testing concepts and hone your skills.
Show steps
-
Create a sample Python application.
-
Identify test scenarios and write unit tests using Python's unittest framework.
-
Run the tests and analyze the results.
-
Debug and refine your tests to improve their accuracy and reliability.
-
Explore third-party Python testing libraries (optional).
Explore Pyppeteer in Depth
Show steps
Deepen your understanding of Python browser automation techniques by working through hands-on tutorials on the Pyppeteer library.
Browse courses on
Browser Automation
Show steps
-
Find a comprehensive Pyppeteer tutorial.
-
Follow the tutorial and experiment with the library's features.
-
Automate a specific web browsing task using Pyppeteer.
-
Debug and troubleshoot your automation scripts.
-
Explore advanced Pyppeteer techniques for complex web interactions (optional).
Build a Real-World Automation Project
Show steps
Apply your DevOps automation skills to a practical project, providing you with valuable hands-on experience and a portfolio piece.
Browse courses on
DevOps Automation
Show steps
-
Identify a real-world problem or task that can be automated.
-
Design and plan your automation solution.
-
Develop the automation scripts using Python and appropriate libraries.
-
Test and refine your scripts to ensure reliability.
-
Deploy and monitor your automation solution.
Review Python Basics
Show steps
Ensure a solid foundation by refreshing your knowledge of core Python concepts before diving into automation.
Browse courses on
Python Programming
Show steps
Show steps
Show steps
- Review online tutorials or documentation on Python basics.
- Revisit introductory Python exercises or practice problems.
- Attend a Python refresher course or workshop (optional).
- Work on small Python coding projects to reinforce your understanding.
- Discuss Python concepts with peers or mentors (optional).
Attend a Python Automation Workshop
Show steps
Expand your knowledge and network by attending a workshop dedicated to Python automation, providing you with expert insights and practical demonstrations.
Show steps
Show steps
Show steps
- Research and find a reputable Python automation workshop.
- Register and attend the workshop.
- Actively participate in the workshop sessions and ask questions.
- Connect with other attendees and industry professionals.
- Follow up with the workshop organizers or speakers for further learning resources (optional).
Join a Python Automation Study Group
Show steps
Enhance your understanding and stay motivated by collaborating with peers in a dedicated Python automation study group.
Show steps
Show steps
Show steps
- Find or start a study group focused on Python automation.
- Set regular meeting times and stick to the schedule.
- Work together on automation projects or assignments.
- Discuss automation techniques, best practices, and challenges.
- Provide feedback and support to other group members.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Share Your Automation Knowledge
Show steps
Reinforce your understanding of automation concepts by guiding and assisting other students in their learning journey.
Browse courses on
Python
Show steps
Show steps
Show steps
- Join or start a study group or online forum related to Python or DevOps.
- Offer help and guidance to others who are struggling with automation topics.
- Create or contribute to online tutorials or resources on Python automation.
- Participate in code review sessions and provide feedback on others' projects (optional).
- Give a presentation or workshop on automation topics (optional).
Test Your Test Automation Skills
Show steps
Practice writing and running test automation scripts to solidify your understanding of Python testing concepts and hone your skills.
Show steps
Show steps
Show steps
- Create a sample Python application.
- Identify test scenarios and write unit tests using Python's unittest framework.
- Run the tests and analyze the results.
- Debug and refine your tests to improve their accuracy and reliability.
- Explore third-party Python testing libraries (optional).
Explore Pyppeteer in Depth
Show steps
Deepen your understanding of Python browser automation techniques by working through hands-on tutorials on the Pyppeteer library.
Browse courses on
Browser Automation
Show steps
Show steps
Show steps
- Find a comprehensive Pyppeteer tutorial.
- Follow the tutorial and experiment with the library's features.
- Automate a specific web browsing task using Pyppeteer.
- Debug and troubleshoot your automation scripts.
- Explore advanced Pyppeteer techniques for complex web interactions (optional).
Build a Real-World Automation Project
Show steps
Apply your DevOps automation skills to a practical project, providing you with valuable hands-on experience and a portfolio piece.
Browse courses on
DevOps Automation
Show steps
Show steps
Show steps
- Identify a real-world problem or task that can be automated.
- Design and plan your automation solution.
- Develop the automation scripts using Python and appropriate libraries.
- Test and refine your scripts to ensure reliability.
- Deploy and monitor your automation solution.
Career center
Learners who complete DevOps and Build Automation with Python will develop knowledge and skills
that may be useful to these careers:
DevOps Engineer
DevOps Engineer
A DevOps Engineer combines software development (Dev) and IT operations (Ops) to improve the speed and quality of software delivery. This course can help build a foundation in DevOps and build automation with Python, which are essential skills for DevOps Engineers.
Cloud Engineer
Cloud Engineer
A Cloud Engineer designs, builds, and maintains cloud-based systems. This course can help build a foundation in DevOps and build automation with Python, which are valuable skills for Cloud Engineers.
Site Reliability Engineer
Site Reliability Engineer
A Site Reliability Engineer ensures that websites and online services are reliable and performant. This course can help build a foundation in DevOps and build automation with Python, which are valuable skills for Site Reliability Engineers.
Automation Engineer
Automation Engineer
An Automation Engineer designs, develops, and maintains automated systems. This course can help build foundational knowledge in DevOps and build automation with Python, which are valuable skills for Automation Engineers.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines. This course can help build a foundation in DevOps and build automation with Python, which are valuable skills for Data Engineers.
Software Developer
Software Developer
A Software Developer designs, develops, tests, and maintains software applications. This course can help build a foundation in DevOps and build automation with Python, which are valuable skills for Software Developers.
Quality Assurance Analyst
Quality Assurance Analyst
A Quality Assurance Analyst tests software to ensure that it meets requirements and is free of defects. This course can help build a foundation in testing with Python, which is valuable for Quality Assurance Analysts.
Project Manager
Project Manager
A Project Manager plans, executes, and closes projects. This course may be helpful in building a foundation in DevOps and build automation with Python, which can be valuable for Project Managers.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. This course may be helpful in building a foundation in DevOps and build automation with Python, which can be valuable for Database Administrators.
Systems Analyst
Systems Analyst
A Systems Analyst analyzes and designs computer systems. This course may be helpful in building a foundation in DevOps and build automation with Python, which can be valuable for Systems Analysts.
IT Manager
IT Manager
An IT Manager manages and oversees the IT department of an organization. This course may be helpful in building a foundation in DevOps and build automation with Python, which can be valuable for IT Managers.
Network Administrator
Network Administrator
A Network Administrator helps maintain, install, and troubleshoot networks. They ensure that the network is running correctly and that data is transmitted securely. This course can help build a foundation in network automation with Python, which can be valuable for Network Administrators.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and systems to identify areas for improvement. This course may be helpful in building a foundation in DevOps and build automation with Python, which can be valuable for Business Analysts.
UX Designer
UX Designer
A UX Designer designs the user experience of websites and apps. This course may be helpful in building a foundation in DevOps and build automation with Python, which can be valuable for UX Designers.
Technical Writer
Technical Writer
A Technical Writer creates and maintains technical documentation. This course may be helpful in building a foundation in DevOps and build automation with Python, which can be valuable for Technical Writers.
For more career information including salaries, visit:
OpenCourser.com/course/w2a3wk/devops
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
DevOps and Build Automation with Python.
Introduces Python in a fun and engaging way. It covers topics such as data types, variables, functions, and object-oriented programming. This book would be a good choice for students who are new to Python.
Introduces Python in a quick and easy way. It covers topics such as data types, variables, functions, and object-oriented programming. This book would be a good choice for students who want to learn Python quickly.
Shows how to use Python to automate tasks such as sending emails, downloading files, and scraping websites. This book would be a useful reference for students who want to learn more about Python automation.
Classic guide to software development. It covers topics such as design principles, coding practices, and testing. This book would be a useful reference for students who want to learn more about software development.
Save
Guide to writing clean and maintainable code. It covers topics such as naming conventions, coding style, and refactoring. This book would be a useful reference for students who want to learn more about writing clean code.
Guide to unit testing. It covers topics such as test design, test automation, and test refactoring. This book would be a useful reference for students who want to learn more about unit testing.
Guide to site reliability engineering. It covers topics such as capacity planning, performance monitoring, and incident response. This book would be a useful reference for students who want to learn more about site reliability engineering.
Save
Guide to DevOps. It covers topics such as cultural change, process improvement, and toolchain integration. This book would be a useful reference for students who want to learn more about DevOps.
Save
Novel about a DevOps transformation. It tells the story of a team that is struggling to meet its delivery deadlines. This book would be a good read for students who want to learn more about DevOps from a practical perspective.
Guide to continuous delivery with Jenkins. It covers topics such as setting up a Jenkins server, creating pipelines, and deploying applications. This book would be a useful reference for students who want to learn more about continuous delivery with Jenkins.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/w2a3wk/devops
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Rating
3.9
Effort
13 hours to complete
Level
Introductory
Via
Coursera
Institution
LearnQuest
Instructor
Aspen Olmsted
Language
English
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This course belongs to a
collection
called
Python Scripting for DevOps. It's comprised of four courses:
- Python Scripting: Dates, Classes and Collections
- Introduction to Python Scripting for DevOps
- DevOps and Build Automation with Python (viewing)
- Python Scripting: Files, Inheritance, and Databases
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