What to expect from this course

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Welcome to Mastering Playwright AI Testing with Pytest! I’m Lino Tadros, and I’m excited to help you build practical skills in automated testing with Python, Playwright, pytest, and AI.

Testing gives us confidence that our applications behave the way users expect. As applications grow, we need tests that are repeatable, easy to understand, and useful when something goes wrong. Throughout this course, we’ll focus on building that confidence through hands-on examples.

What you’ll learn

We’ll bring together three parts of a modern testing workflow:

  • Playwright to automate browser interactions and verify application behavior.

  • pytest to organize tests, manage setup and cleanup, and run scenarios with different inputs.

  • AI assistance to help develop test ideas, draft code, and investigate failures, with careful review of the results.

You’ll start with the foundations and build toward more complete testing scenarios. Along the way, you’ll learn how to interact with pages, locate elements, enter data, and write assertions that check meaningful outcomes.

We’ll also explore the decisions that make tests easier to maintain: choosing reliable locators, keeping tests independent, reusing setup, and organizing code so that changes to an application are easier to manage.

Think beyond clicking buttons

A browser can successfully click a button while the application still behaves incorrectly.

Imagine testing a sign-in page. Entering a username and password and clicking Sign in is only part of the test. We also need to verify the result. Did the correct page appear? Was an invalid password rejected? Did the user receive a useful message?

Throughout the course, I’ll encourage you to ask three questions:

  1. What behavior am I testing?

  2. What result would demonstrate that it works?

  3. If this test fails, will it help me understand the problem?

Those questions will guide both the code we write and the scenarios we choose.

Where AI fits

AI can help you explore edge cases, suggest test scenarios, explain unfamiliar code, and create a first draft of a test.

But a generated test still needs your judgment. It may make incorrect assumptions, choose a fragile locator, or check an outcome that doesn’t match the requirement. You’ll need to understand the code, run it, and decide whether it provides useful coverage.

Our goal is to make AI a productive part of your testing workflow while keeping you responsible for what your tests actually prove.

How to approach the lessons

This course is designed for active participation. As you work through the examples:

  • Pause and write the code yourself.

  • Run each test and inspect the result.

  • Change an input or expected outcome and observe what happens.

  • Practice explaining why a test passed or failed.

  • Apply the techniques to a small workflow of your own.

Spend time with failures. A failed test is an opportunity to investigate: the application may have a defect, the test may contain a mistake, or the environment may differ from what you expected. Learning to distinguish those causes is an essential testing skill.

What you should bring

A basic understanding of Python will help you get the most from the course. You should be comfortable with variables, functions, imports, and running a Python program. Familiarity with web pages, forms, and basic HTML will also be useful. The course will start with an introduction to Python, in case this is new to you.  You can skip the Python basics if you are familiar with Python.

You don’t need to be a Playwright expert to begin. Come ready to experiment, read error messages, and work through problems as you build your skills.

What success looks like

By the end of this course, the goal is for you to approach a web application, identify an important user journey, and turn it into an automated test you can explain and maintain.

You should understand what the test checks, why its assertions matter, how to investigate a failure, and where AI can help you work more effectively.

Before moving on, think of one workflow you would like to automate. It might be signing in, submitting a form, searching a catalog, or completing a checkout. Keep that example in mind as you learn.

Let’s get started!

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