Python for Testing 101 (PT101)

Understand the fundamentals of software testing, learn how different testing techniques fit into the development process, and prepare for the PCET™ – Certified Entry-Level Tester with Python certification.

This course introduces the core concepts of software testing, covering key testing methods, testing levels, and software quality best practices. You’ll learn how testing helps identify defects, improve reliability, and manage software releases effectively. The course explores manual and automated testing, different testing techniques, and how to structure testing efforts for better results.

The course covers topics such as error handling, debugging techniques, software testing levels (unit, integration, system, and acceptance), test documentation, and test coverage. You’ll also learn about industry best practices like the test pyramid, the DRY and KISS principles, and refactoring techniques to improve code quality. Additionally, the course introduces concepts from the ISTQB® methodology, including the 7 testing principles, test case design techniques, and the structured approach to testing in different software development models.

By completing this course, you’ll build a strong foundation in software testing and be prepared for the PCET™ – Certified Entry-Level Tester with Python certification.

Key skills you will learn

Enroll in Python for Testing 101 (PT101) and gain practical skills in:

  • Software testing fundamentals
  • Understanding different types and levels of testing
  • ISTQB® testing principles and methodologies
  • Test planning, execution, and documentation
  • Debugging and error analysis
  • Static analysis and code refactoring
  • Test coverage and test metrics
  • Best practices for software testing and quality assurance

BEGINNER +
Python for Testing Track

1820

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Python for Testing 101 (PT101)

  Beginner +

  4-6 weeks

  English

  Free
Python for Testing 101 (PT101)

This course introduces the core concepts, methodologies, and best practices in software testing, with a focus on how testing fits into software development. It covers fundamental testing principles, debugging techniques, test documentation, and test coverage while exploring both manual and automated testing approaches.

The main goal of the course is to provide a strong foundation in software testing, including essential terminology, software testing methodologies, ISTQB® testing principles, and structured approaches to improving software quality. While Python is used for examples, this course does not focus on writing automated tests but instead prepares learners to understand and apply testing techniques effectively.

The course equips learners with the knowledge needed for roles in software testing and quality assurance, such as software tester, QA engineer, and test analyst, as well as software development roles that require an understanding of testing principles.

For more details about the course or to sign up, click the button. You will be redirected to our e-learning platform, Edube.


Python for Testing 101 (PT101) is designed for learners who want to build a solid foundation in software testing. It is particularly suited for:

  • Aspiring programmers and beginners in software testing who want to learn the basics of testing and software quality assurance for personal or professional growth.

  • Learners preparing for entry-level roles in software testing or quality assurance, such as software tester, QA engineer, or test analyst.

  • Industry professionals familiar with other programming languages and tools who want to understand software testing principles and how Python can be used for testing purposes.

  • Aspiring programmers and professionals looking to expand their skills in software testing, test automation, security, and software quality assurance as part of their career development.

  • Team leaders, product managers, and project managers who want to understand software testing processes to improve collaboration with development and QA teams.

Prerequisites

This course is designed for learners who:

  • Have a basic understanding of Python programming concepts.
  • Can write and debug simple Python programs.
  • Want to build a strong foundation in software testing principles and methodologies.
  • Aim to improve their ability to analyze software quality and reliability.

No prior knowledge of object-oriented programming (OOP) is required. This course is designed as a smooth transition from Python Essentials 1 to software testing, making it accessible for learners with basic Python experience.

What You Will Learn

By the end of this course, you will be able to:

  • Understand the importance of software testing in software development.
  • Differentiate between various types and levels of software testing.
  • Apply testing methodologies and best practices to improve software quality.
  • Interpret and analyze test results to identify issues in software.
  • Understand the role of test documentation in organizing and tracking testing efforts.
  • Follow industry-recognized testing principles such as DRY, KISS, and F.I.R.S.T.
  • Use static analysis and refactoring techniques to improve code quality.
  • Recognize and mitigate issues like dead code and overly complex code structures.
  • Work with Python’s basic testing toolset, including assertions, logging, debugging tools, and static analysis, to assess and improve software reliability.