Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

What is the duration of the Training Pytest - Automating Robust Python Tests training?

The Training Pytest - Automating Robust Python Tests training takes place over 28 heures. The program is structured in progressive modules for optimal skill development.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Pytest - Automating Robust Python Tests training are: Advanced mastery of Python, experience with unit testing using Pytest or unittest. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Pytest - Automating Robust Python Tests training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training Pytest - Automating Robust Python Tests | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training Pytest - Automating Robust Python Tests training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training Pytest - Automating Robust Python Tests training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Pytest - Automating Robust Python Tests training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training access terms and deadlines

Training objectives

Master parameterized Pytest fixtures for professional modular tests

Develop advanced mocks and asynchronous tests in an enterprise context

Optimize code coverage with pytest-cov and detailed reports

Implement CI/CD pipelines integrating Pytest for reliable deployments

Design certified TDD strategies with Pytest markers and plugins

Configure complex testing environments for scalable projects

Training program

Module 1Pytest Fixtures: Implementing Reusable and Parameterized Setups (Scopes, Factories, Data-Driven)

Install and configure advanced Pytest fixtures for modular environments, practice parametrization on complex datasets from business cases, develop factories generating dynamic fixture data, apply to real Python APIs via practical exercises, produce a set of reusable tests with automatic validation and initial coverage report.

Module 2Pytest Mocks: Simulating Dependencies with pytest-mock (Patch, Monkeypatch, Async)

Master pytest-mock to isolate code units by simulating databases and external services, implement monkeypatch on critical functions during asynchronous exercises with asyncio, test complex business flows, debug real interactions via practical cases, generate configurable reusable mocks, validate robustness with advanced assertions and detailed logs.

Module 3Advanced Pytest Management: Markers, Plugins, Coverage with pytest-cov

Integrate Pytest markers to categorize and skip conditional tests in professional projects, configure plugins like pytest-xdist for fast parallel executions, measure exhaustive coverage with pytest-cov and HTML reports, analyze gaps in legacy code via hands-on exercises, optimize quality thresholds, produce customized dashboards for internal company audits.

Module 4Pytest CI/CD and TDD: GitHub Actions Pipelines, Scalable Best Practices

Design CI/CD pipelines integrating Pytest for automated tests in GitHub Actions and GitLab, apply advanced TDD on the complete capstone project, integrate coverage thresholds and Slack notifications, debug failures live via parallel matrices, document best practices for DevOps teams, deploy a production-ready certified Pytest framework with performance metrics.