Testing mode Features and test data can change before launch.
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BeginnerAutomation

Python Test Automation for QA Engineers

Practice Python test automation through a local checkout project. Use pytest, fixtures, parameters, payment doubles, response checks, and a browser fixture. Evaluate the completed suite through deliberate failure experiments.

pytestTest designFixturesTest doublesAPI contract checksUI automation architectureContinuous integration
Learning outcomes

What you’ll be able to do.

01

Write focused pytest tests with useful failures

02

Design fixtures and parameterized risk cases

03

Control dependencies without excessive mocking

04

Validate local API contracts and response evidence

05

Build and evaluate a maintainable checkout automation suite

Curriculum

8 focused modules.

32 lessons total
01Prepare your Python automation workCheck the Python foundation and distinguish the browser refreshers from the local test project.
  1. ↳Welcome to Python Test AutomationLesson
  2. ↳What programming is and how Python runsLesson
  3. ↳Variables, decisions, loops, and functionsLesson
02Build and interpret pytest checksSet up the local project, then use discovery, assertions, selection, and diagnostic results.
  1. ↳Build your first pytest checkLesson
  2. ↳Test discovery and assertionsLesson
  3. ↳Produce useful failure messagesLesson
  4. ↳Run and select focused testsLesson
  5. ↳Read results and investigate failuresLesson
03Test design with pytestRepresent meaningful variations, reliable setup, risk boundaries, and rejected behavior without duplicating test logic.
  1. ↳Create parameterized test casesLesson
  2. ↳Design fixtures and lifetimeLesson
  3. ↳Automate boundaries and equivalence partitionsLesson
  4. ↳Test negative paths and exceptionsLesson
04Controlled dependenciesCreate explicit seams, choose suitable test doubles, control nondeterminism, and verify only essential collaboration.
  1. ↳Design testable seamsLesson
  2. ↳Choose stubs, fakes, and mocksLesson
  3. ↳Control time and randomnessLesson
  4. ↳Verify interactions without excessive mockingLesson
05Data and API contractsValidate local response evidence, combine HTTP dimensions, use schemas carefully, and organize API regression cases.
  1. ↳Validate JSON response shapesLesson
  2. ↳Check status, headers, and body togetherLesson
  3. ↳Create schema and contract checksLesson
  4. ↳Build data-driven API regression checksLesson
06UI automation architectureModel browser behavior with resilient locators, observable readiness, bounded page objects, and appropriate evidence layers.
  1. ↳Use resilient locators and page objectsLesson
  2. ↳Reason about waits and flakinessLesson
  3. ↳Test through a fake browser adapterLesson
  4. ↳Combine UI, API, and data evidenceLesson
07Professional suite engineeringOrganize ownership, compose reusable setup, protect diagnostic evidence, and operate suites responsibly in continuous integration.
  1. ↳Structure suites and apply markersLesson
  2. ↳Build reusable fixtures and data buildersLesson
  3. ↳Capture diagnostics and useful artifactsLesson
  4. ↳Use CI, parallelism, and flaky-test controlsLesson
08Automation synthesisPlan, implement, diagnose, and evaluate a maintainable checkout suite that combines the course outcomes.
  1. ↳Define the checkout suite capstoneLesson
  2. ↳Build the checkout pytest suiteLesson
  3. ↳Diagnose and refactor the suiteLesson
  4. ↳Review outcomes and choose next stepsLesson
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