Pytest is a popular Python testing framework used to write automated tests for software applications. As the demand for software testing continues to grow, many individuals and organizations are looking for online courses to enhance their Pytest skills. This article provides an overview of some of the best online courses available for learning Pytest, highlighting their features and benefits to help learners make informed decisions.
Here’s a look at the Best Pytest Courses and Certifications Online and what they have to offer for you!
10 Best Pytest Courses and Certifications Online
- 10 Best Pytest Courses and Certifications Online
- 1. The Complete Automation PyTest Course for 2022 by Martin Yanev, Plamen Yanev (Udemy) (Our Best Pick)
- 2. Elegant Automation Frameworks with Python and Pytest by Brandon Blair (Udemy)
- 3. Real World Python Test Automation with Pytest (Django app) by Eden Marco (Udemy)
- 4. Pytest : Python 3 Unit Testing Tutorial For Beginners by Yogesh Patel (Udemy)
- 5. Hands-On Test Driven Development with Python by Packt Publishing (Udemy)
- 6. Learn Pytest in 100 Minutes :Unit Testing Framework 4 Python by Testing World Infotech (Udemy)
- 7. Practical python unit testing with Pytest + mocking |Pycharm by Faisal Memon, GetUpraised Official (Udemy)
- 8. Pytest Essentials: Unit Testing by Fanuel Mapuwei (Udemy)
- 9. Pytest: Unit test automation in Python by Programming Made Easy (Udemy)
- 10. Test automation with PyTest by Lucian Musat (Udemy)
1. The Complete Automation PyTest Course for 2022 by Martin Yanev, Plamen Yanev (Udemy) (Our Best Pick)
The Complete Automation PyTest Course for 2022 is a course that teaches Pytest from scratch, taking you from a complete Python beginner to a professional automation test developer. Pytest is a Python-based tool that offers many features that make testing easier and more organized. In this course, you will learn how to write automated tests, fixtures, built-in plugins, and installable libraries.
The use of Python is increasing not only in software development but also in other fields such as data analysis, research, and testing. Software testing is crucial to ensure that programs function properly and provide accurate results. Pytest is a robust Python testing tool that is used in all levels of software testing. It is a key component in the work of many software development teams, quality assurance teams, and independent testing companies. Many platforms are switching from legacy unitest to Pytest to test their code.
Pytest offers powerful features such as rewrite validation, a third-party attachment model, and a powerful yet simple device adaptation that is unmatched in any other testing framework. It is a command-line tool that automatically finds tests you’ve written, runs tests, and reports results. Pytest has a library of extras that you can use in your tests to help you test more effectively. It can be extended to writing plugins or installing third-party plugins and can be used to test Python distributions. Pytest integrates easily with other tools such as seamless integration and web automation.
What sets Pytest apart from many other test frameworks is its simplicity. Simple tests are easy to write in Pytest, and complex tests are still simple to write. Tests are easy to read and easy to learn. The course content and sections include an introduction, Python and Eclipse installations, introduction to Python, types of Pytest testing, writing test functions, testing test functions, Pytest fixtures, built-in fixtures, plugins, and Pytest configuration.
2. Elegant Automation Frameworks with Python and Pytest by Brandon Blair (Udemy)
The course titled “Elegant Automation Frameworks with Python and Pytest” is designed to teach participants how to create a fast, scalable, and professional-grade test automation framework using Python and the Pytest toolkit. Through this course, participants will learn how to eliminate boilerplate setup and teardown code, run multiple tests at the same time, and track the history of test runs to identify slow or problematic tests. The course promises to equip participants with lessons collected over years of professional automation in just a few hours.
The course addresses the need for reliable and robust test frameworks, which save time and money, improve trust between testers and developers, and make for happier testers. The instructor notes that happy testers tend to be more productive, more effective, and tend to grow within the organization. The course focuses on providing viable implementation guidance and valuable industry practices to help participants build high-performance and scalable test frameworks at the professional level.
The course is suitable for those comfortable with basic Python and Object-Oriented Programming concepts. It builds a rock-solid foundation of skills required to automate at a professional level. The course begins with a brief introduction and step-by-step setup of Pytest. It discusses what makes a good framework and what makes a bad one. Participants will learn how to use test searching to avoid cumbersome test suites and how fixtures can eliminate up to 80% of the code in a bloated codebase.
The course includes code samples, short quizzes, and info-rich videos to help participants follow along with the concepts. The instructor assures participants of availability for questions. The course is divided into several sections, including Introduction, Setting Up Your Environment, The Pytest Framework, and Writing Great Tests.
The course concludes by expressing the instructor’s passion for automation and the need for more individuals executing effective, high-value automation solutions.
3. Real World Python Test Automation with Pytest (Django app) by Eden Marco (Udemy)
The course titled “Real World Python Test Automation with Pytest (Django app)” is taught by Eden Marco and focuses on teaching Pytest by building a full Django application with a Continuous Integration system and software testing best practices. The course is designed for individuals who are interested in testing and covers various testing aspects such as unit tests, integration tests, API tests, end to end tests, and performance tests. The course includes a total of over 40 tests and a complete CI system that integrates Bitbucket cloud pipelines, Slack messaging, and Allure reporting. The course requires basic knowledge of Python and covers various topics such as Pytest features, fixtures, markers, parametrize, skip, xfail, Pytest.ini, Pytest-django, Pytest-cov, pytest-xdist, unittest library, mocks, requests library, Django, Rest API, models, migrations, views, serializers, SQLite3 DB, email backends, and more. The course content and sections include an introduction, Pytest quick start tutorial, setting up the development environment, creating and testing a Django project, Pytest automatic testing for the Django application, continuous integration, performance testing, endpoint assignment, Pytest-xdist, Slack CI integration, advanced Pytest fixtures, conftest.py files and .env file, server agnostic API testing, Allure report tool, cool plugins for Pytest, mocking in Python, testing concepts, troubleshooting section, and a software developer certificate.
4. Pytest : Python 3 Unit Testing Tutorial For Beginners by Yogesh Patel (Udemy)
Course Title: Pytest: Python 3 Unit Testing Tutorial For Beginners
This online course teaches beginners how to use the pytest framework to write better programs. Pytest is a full-featured Python testing tool that scales to support complex functional testing for applications and libraries. It is an alternative and more Pythonic way of writing tests.
The course covers the basics of Pytest functionality, including Setup & Tear Down, Fixtures, and Parameterizing tests (pytest.mark.parametrize). Students will also learn how to use PyCharm to run pytest tests.
The course starts with a brief introduction and setup of Pytest, followed by a tutorial on how to install pytest and use Options with Pytest. The course also covers Pytest fixtures + setup/teardown methods.
One of the best features of Pytest is that the overhead for creating unit tests is close to zero, making it easy for beginners to learn and use effectively.
Enroll now and take this online Python course to master your skill.
5. Hands-On Test Driven Development with Python by Packt Publishing (Udemy)
The course titled “Hands-On Test Driven Development with Python” is offered by Packt Publishing and focuses on teaching the practices of Test-Driven Development using the PyTest framework to create unit tests. The course is aimed at individuals who want to become core developers at their company and improve the quality of their code.
The video tutorial begins by introducing the PyTest testing library and setting up common Python development environments to use PyTest. It then covers the creation of isolated test environments with Test Doubles and their implementation and usage with unittest.mock. Students will learn the best practices in Unit Testing and TDD and gain hands-on experience by implementing unit tests using TDD in Python.
Richard Wells, a software engineer with over twenty years of experience in writing codes in multiple languages and working on difficult projects with tight deadlines and high expectations for quality, is the course author. The course includes five sections that cover Overview and Setting Up Your Development Environment, PyTest Framework Supporting Functional Testing, Hands-On Example – Implementing a Checkout Cart with TDD, Creating an Isolated Test Environment with Test Doubles, and Unit Testing and TDD Best Practices.
Upon completion of the course, students will be able to apply the practices of Unit Testing and TDD on a daily basis to improve the quality of their code and help their company achieve their goals faster.
6. Learn Pytest in 100 Minutes :Unit Testing Framework 4 Python by Testing World Infotech (Udemy)
The “Learn Pytest in 100 Minutes” course offered by Testing World Infotech covers the basics of the Pytest unit testing framework for Python. The course covers topics such as Pytest functionality, setup and teardown procedures, fixtures, assertions, grouping, and reporting.
Pytest is a well-established testing tool for Python that allows users to write small tests while also being scalable enough to handle complex functional tests for applications and libraries. The tool offers several features, including detailed information on failing assert statements, auto-discovery of test modules and functions, modular fixtures for managing test resources, and the ability to run unittest and nose test suites out of the box. It supports Python versions 2.7, 3.4+, PyPy 2.3, and Jython 2.5, and boasts a rich plugin architecture with over 315 external plugins and a dedicated community.
The course provides step-by-step installation instructions and covers the advantages of Pytest, how to write test cases using Pytest, adding assertions to test cases, grouping test cases using tags, Pytest formatted test cases, reporting in test cases, executing test groups using tags, and real-time implementation of Pytest in web automation frameworks using Selenium and Python, as well as in API automation frameworks using Requests and Python.
Overall, the “Learn Pytest in 100 Minutes” course offers a comprehensive introduction to the Pytest unit testing framework for Python, including both theoretical and practical aspects.
7. Practical python unit testing with Pytest + mocking |Pycharm by Faisal Memon, GetUpraised Official (Udemy)
The course, “Practical python unit testing with Pytest + mocking |Pycharm,” is designed for complete beginners who want to learn about Python test automation or Python testing automation with Pytest using Pycharm IDE. The course focuses on practical, hands-on programming examples and teaches the step-by-step process of writing unit tests for Python code using Pytest. The course also covers mocking to perform unit tests in isolation, cutting down any external dependencies that the project may have.
Pytest is an open source testing framework that offers features like the ability to run tests in parallel and skip tests. It is easy to learn due to its simple syntax and is a popular framework among Python developers. The course is designed keeping beginners in mind and explains every concept clearly in an easy-to-understand manner.
The course is backed by Udemy’s 30-day money-back guarantee. The benefits of the course include learning to write test cases with Pytest framework in a practical way, gaining confidence in interviews, configuring and setting up Pycharm to work with Pytest, learning about assertions and how to use them practically, testing exceptions, learning about pytest fixtures and markers, learning about mocking and how to create mocks to cut down dependencies, and learning how to mock APIs and verify them.
The course is for anyone who has a computer with an internet connection to install Python and Pycharm, basic knowledge of Python, and preparation to do hands-on programming. The course has sections on getting started, introduction and setup, assertions, Pytest – Hands on, mocking, and a course bonus. To get started with the course, one can press the BUY NOW button and start learning.
8. Pytest Essentials: Unit Testing by Fanuel Mapuwei (Udemy)
Course Title: Pytest Essentials: Unit Testing
Course Instructors: Fanuel Mapuwei
This course covers the fundamentals of unit testing with the Pytest framework. Participants are expected to have prior experience with Python programming.
Welcome to Unit Testing with Pytest Frameworks! In this course, we will provide a step-by-step guide on how to handle testing through the Pytest framework. Please note that familiarity with Python core foundation concepts is assumed.
Pytest is essential for Test Driven Development, where code is run and allowed to fail, allowing the testing framework to provide solutions for resolving the failed test code. Upon completion of the course, participants will have the skills and knowledge to create great applications with well-organized and efficient code.
It should be noted that this course is not recommended for those who are unfamiliar with Python. However, those who develop application software using Python programming language will find this course to be beneficial in reducing debugging time through the use of coding techniques.
Reasons to learn Pytest include reducing execution time through multiple tests in parallel, running a subset of the entire suite, problem-solving through TDD, and testing API and database.
9. Pytest: Unit test automation in Python by Programming Made Easy (Udemy)
The Pytest: Unit test automation in Python course is designed to teach participants how to automate unit testing using the Pytest framework. This framework allows for the creation of test codes using Python that can be applied to various environments, such as databases, APIs, and GUIs. The course covers all necessary topics for building a test automation framework using Pytest, assuming minimal prior experience with Python coding.
Participants will learn how to eliminate boilerplate setup and teardown code, run multiple tests simultaneously, and track test histories to identify slow or problematic tests. The course covers aspects of Pytest such as asserting parts of tests, discovering tests, and making tests easier to manage. Each section is accompanied by Python examples.
10. Test automation with PyTest by Lucian Musat (Udemy)
Course Title: Test Automation with PyTest
Course Instructors: Lucian Musat
Course Short Description: Learn to automate your tests with ease using PyTest.
Course Long Description:
Lucian Musat, a QA automation engineer with a decade of experience, is excited to share his knowledge of automating tests with Python and PyTest. This course is designed for QAs looking to add PyTest to their skill set. Pytest is a user-friendly testing framework that provides a solid foundation for an automation journey.
In this course, Lucian will start from scratch and gradually teach how to create clear, clean, and maintainable test cases. Throughout the course, he will explain his thought process and guide the viewers as if it’s a live coding session.
To follow along with the course, a basic knowledge of Python and Linux is suggested, but not mandatory.
The course will cover the following sections:
3. First tests
4. PyTest options
6. Test management
7. Pytest for Web or Services