Turn Python code
into a product
you can trust.

You’ll go beyond basic theory and learn real-world test automation in Python, including:

Writing unit tests and integration tests Performing API testing using pytest Applying Test-Driven Development (TDD) Debugging and fixing bugs efficiently Building CI/CD pipelines with GitHub Actions Unlike generic courses, this course focuses on *practical implementation, helping you apply testing in real development workflows.

By the end of this course, you will confidently:

Build scalable Python testing systems Improve code quality and reliability Automate testing processes Integrate testing into modern DevOps pipelines

About this course

Most developers eventually reach the same point. The project grows. Features accumulate. Small changes start breaking unrelated parts of the system. You hesitate before refactoring. You rely on manual checks. You know you need tests, but you are not fully sure where to start or how to structure them properly.

This is exactly where python unit testing, integration testing, and the pytest framework become essential parts of modern python programming practices. With a solid test framework, developers can introduce reliable automation testing in python and avoid fragile manual checks.

Another problem that I see all the time when talking to dev teams is that Test-Driven Development (TDD) often feels impractical and too slow if used incorrectly. Legacy code is already in production. Thousands of lines of code have been written without tests, and testing every line of existing code is absolute overkill. You know you need some approach to take control of your code efficiently without falling into perfectionism.

This course shows how TDD (Test Driven Development) and modern python test automation techniques can be applied pragmatically in real projects without slowing down development. Whether you are searching for a complete pytest tutorial or a practical python testing course, this course is designed to help you build confidence with testing in real-world applications.

In this course, we focus on writing high-quality tests the right way, following modern python testing best practices without overthinking, and automating testing in CI/CD pipelines using GitHub Actions. This allows your automation testing pipeline to run on every commit, bringing the benefits of modern DevOps workflows and Python CI/CD testing into your Python projects.

This course is very practical. My goal is to give you a solid foundation in pytest, automation testing python, and all the important pytest framework features so you can use them with confidence in real python coding projects.

We will work with real examples, NOT just small toy code. You will practice Python API testing with pytest, unit testing and integration testing in realistic scenarios. We will test functions and classes, practice FastAPI testing with pytest, and test code with multiple dependencies. You will see how pytest fits different types of projects and how it helps you stay confident as your code becomes more complex.