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Playwright Test Automation in Java with AI-Driven Design

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  • 5,816 Students
  • Updated 3/2026
4.5
(955 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
14 Hour(s) 51 Minute(s)
Language
English
Taught by
John Ferguson Smart
Rating
4.5
(955 Ratings)

Course Overview

Playwright Test Automation in Java with AI-Driven Design

Use AI to design and implement reliable Playwright tests without flakiness, duplication, or technical debt

Build Playwright automation that doesn’t collapse over time

AI can generate Playwright tests in seconds.

The problem is what happens after that.

A few weeks in, the same flows start appearing in slightly different forms. Assertions don’t quite line up anymore. Someone fixes a selector in one place but not another. Then a small UI change lands, and suddenly half the suite is red.

At that point, it’s not obvious what’s wrong. The code looks reasonable. It runs. But it doesn’t behave consistently.

That’s usually a design problem, not a tooling problem.

It’s something I’ve seen repeatedly across teams working on larger systems.


Playwright itself isn’t the hard part. Writing a test that passes isn’t the hard part either.

What’s difficult is ending up with a test suite that still makes sense as it grows.

One where changes don’t ripple unpredictably, and where you don’t have to stop and think “why was this written this way?” every time you open a file.

That’s what this course focuses on.


You’ll build out a Playwright framework in Java step by step, but the emphasis isn’t on the mechanics.

It’s on the decisions behind it.

Why one structure holds up better than another. Why some tests become fragile even when they look clean.

We’ll work through real scenarios — authentication, API interactions, dynamic UI behaviour — the kinds of things that tend to break naive test suites.

By the end, you should have something that feels like a system, not just a collection of tests.


AI is part of that system now, whether we like it or not.

Used carefully, it’s genuinely useful. It helps explore flows, sketch out tests, and fill in the obvious gaps.

But left unchecked, it introduces a kind of quiet inconsistency.

Not dramatic failures. Just small differences that accumulate.

Nothing is obviously wrong, but nothing quite lines up either.

That’s where most teams start losing control.


So instead of treating AI as a shortcut, we treat it as something that needs boundaries.

You’ll see how to guide it so the output fits into a consistent structure.

How to keep naming, intent, and patterns aligned.

The aim isn’t to write tests faster.
It’s to make sure what you generate today still makes sense a month from now.


It’s about 15 hours of content, and it assumes you already know your way around Java and basic testing.

This isn’t about getting started. It’s about getting past the point where things start to get messy.

Course Content

  • 25 section(s)
  • 128 lecture(s)
  • Section 1 Introduction To Playwright In Java
  • Section 2 Your First Playwright Tests
  • Section 3 Playwright Architecture: Browsers, Browser Contexts and Pages
  • Section 4 Understanding Playwright Locators
  • Section 5 Interacting With Fields In Playwright
  • Section 6 Making Assertions in Playwright
  • Section 7 Waiting For Events In Playwright
  • Section 8 Organising Your Playwright Tests
  • Section 9 API Testing With Playwright
  • Section 10 Interacting With APIs In Our Playwright Tests
  • Section 11 Mocking API Calls In Playwright
  • Section 12 Working With Page Objects In Playwright
  • Section 13 Tracing And Debugging Playwright Tests
  • Section 14 Running Playwright Tests In Parallel With JUnit 5
  • Section 15 Reporting On Playwright Tests With Allure Reports
  • Section 16 BDD With Playwright And Cucumber
  • Section 17 Creating A CI Pipeline For Your Playwright Tests With GitHub Actions
  • Section 18 Live Coding Exercise - The TodoMVC Application
  • Section 19 Running Playwright Tests With Docker
  • Section 20 Playwright and Serenity BDD
  • Section 21 Write Playwright Tests Faster with AI - Part 1 - Installing Claude Code
  • Section 22 Write Playwright Tests Faster with AI - Part 2 - The Convention-First Approach
  • Section 23 Write Playwright Tests Faster with AI - Part 3 - The Claude.md File
  • Section 24 Write Playwright Tests Faster With AI - Part 4 - Generating Your Tests with MCP
  • Section 25 Writing Playwright Tests Faster With AI - Part 5 - Working With Existing Tests

What You’ll Learn

  • Build a Playwright test automation framework in Java that remains maintainable as it grows, Write UI and API tests that are stable enough to trust in CI, not just locally, Structure test code so changes don’t ripple unpredictably across the suite, Use AI to support test design and implementation without introducing inconsistency, Handle authentication, network behaviour, and dynamic UI scenarios in real applications, Run tests in parallel without introducing subtle, hard-to-debug failures, Produce reports that clearly explain what failed and why

Skills covered in this course


Reviews

  • Y
    YURANY ANDREA GOMEZ RUIZ
    5.0

    I love this course ... it was big helper and very specific and complete

  • S
    Sylwia Nowalska-Gwóźdź
    4.0

    Zainteresował, natomiast myślę, że dla zupełnego laika może być za trudny. Ale naprawdę ciekawy kurs.

  • А
    Анастасия
    5.0

    A very good course! I liked that playwright was explained together with building of architecture of the project. Also it was really helpful "homework" at the end of course followed with explanation of possible solutions. One disadvantage that docker and Jenkins was explained a little bit superficially

  • A
    Arturo Orozpe Téllez
    5.0

    Very useful and valuable information provided by the instructor, thank you for such amazing content!

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