The pytest framework is simple to use but powerful enough to cover complex testing integration scenarios. PyTest is considered by many to be the true Pythonic approach to testing in Python.Geared for QA, Test team members and others who want to use the Python testing framework PyTest to implement code testing strategies, Test Automation with Python is a hands-on, two day Python testing course that provides students with the skills required to get started with PyTest right away. Participnats will learn how to get the most out of it in their daily workflow, exploring powerful mechanisms and plugins to facilitate many common testing tasks.
Date | Time | Price | Option |
---|---|---|---|
04/28/2025 | 08:00 AM - 04:00 PM CT | $2,195.00 | |
06/16/2025 | 08:00 AM - 04:00 PM CT | $2,195.00 | |
08/11/2025 | 08:00 AM - 04:00 PM CT | $2,195.00 | |
10/20/2025 | 08:00 AM - 04:00 PM CT | $2,195.00 | |
12/01/2025 | 09:00 AM - 05:00 PM CT | $2,195.00 |
Please note that this list of topics is based on our standard course offering, evolved from typical industry uses and trends. We’ll work with you to tune this course and level of coverage to target the skills you need most.
This skills-focused course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working within in a hands-on learning environment students will learn to:
This in an introductory-level course geared for QA, Test team members and others who want to use the Python testing framework PyTest to implement code testing strategies. Attendees should have prior basic Python scripting experience. Students should have some familiarity with tools to be used in this course: PyCharm, Jupyter Notebook and basic GIT.
This in an introductory-level course geared for QA, Test team members and others who want to use the Python testing framework PyTest to implement code testing strategies. Attendees should have prior basic Python scripting experience. Students should have some familiarity with tools to be used in this course: PyCharm, Jupyter Notebook and basic GIT.