Real World Python Test Automation with Pytest (Django app)
What you'll learn
- Learn the ins and outs of Pytest
- Build a real world Django web server
- Build a continuous integration system
- Testing Best Practices
- Build high-performing, reliable automated test suites
- Allure Reporting
- Slack messaging
- Unit, Integration, E2E, performance tests
- Mocking and Patching
Requirements
- Advanced knowledge of python - This is NOT a beginner course
Description
This is a MUST course for anyone who cares about testing.
I teach the ins and outs of pytest while building a real-world Django application (including a continuous integration system in bitbucket).
In this course, we will build a very simple Django server, I will teach just enough Django so that we will be able to build the application and then focus on testing it.
We will together test the application from all angels - Unit tests, integration tests, API tests, end-to-end tests , and performance tests with (a total of over 40 tests)
You will end up with a complete CI system that integrates bitbucket cloud pipelines, slack messaging, and allure reporting.
Every time we will make a push, the CI system will run our tests and will notify us if the build passed/failed.
In this course, we go in-depth, and we will even implement together (from scratch) some of pytest's features so that we will know what happens under the hood when pytest is running our tests.
This is not an entry-level course; basic knowledge of python is needed
You will learn:
Pytest features (in-depth)
Fixtures
Markers
Parametrize
Skip, xfail
Pytest.ini
Pytest-django
Pytest-cov
pytest-xdist
unittest library, mocks
Requests library
Django (just enough to build a web server)
Rest API
Models, Migrations
Views
Serializers
SQLite3 DB
Email backends
Continuous Integration (in-depth)
Bitbucket pipelines
Bitbucket environment variables
Parallel steps
Docker
Slack messaging integration
Allure Reporting
Testing (In-depth)
Unit tests
Mocking. Patching, Stubs
Integration tests
Performance tests
Testing environments
Python best practice
Virtual environments: pipenv
Pipfile
Type hinting
Black formatter
.env File
Recreating react our projects UI (No prior knowledge is needed
Who this course is for:
- Developers who are interested in writing quality tests for their applications
- Python Developers curious about Pytest
- Anyone who wants to build or improve an automated testing framework
- QA Engineers who wants to learn about pytest
Instructor
I’m a passionate Software Engineer with years of experience in back-end development and cloud architecture. I was one of the first engineers at Orca Security, where I helped shape the company’s core technology, and today I work as a GenAI Architect at Google Cloud, helping organizations design and deploy advanced generative AI and cloud-native solutions.
I’m also proud to be a LangChain Ambassador, actively contributing to the open-source community and helping developers build powerful LLM applications using the LangChain ecosystem.
I hold a Bachelor’s degree in Computer Science from the Technion, and I’ve always had a deep passion for teaching and mentorship. I taught Functional Programming and Introduction to Computer Science at Reichman University, where I guided the next generation of software engineers.
My courses are built on real-world experience and designed to give you practical, production-ready skills—whether you’re just getting started or looking to level up.