Test Automation with Python
Develop the skills to create maintainable automated checks using Python through a learning path centred on Test Automation with Python. Explore concepts, guided practice and an applied project.
Build practical Test Automation with Python skills.
Skills and knowledge developed in this course.
- Python test foundations
- Application checks
- Maintainable suites
- Automation project
- Applied project: Create maintainable automated checks using Python
- Test Automation with Python — validation and review
About this course
This course develops practical capability in Test Automation with Python. Its course-specific content covers Python test foundations, Application checks, Maintainable suites, Automation project, followed by an applied project focused on create maintainable automated checks using python. The lessons include concrete configuration, design, testing or operational decisions appropriate to the subject.
Who this is for
Administrators, developers and practitioners who work with Test Automation with Python or plan to take on responsibilities in this area.
Before you start
Basic computer literacy and a foundational understanding of software testing & qa. Prior experience with the named product helps with the practical exercises.
Create maintainable automated checks using Python
Deliver create maintainable automated checks using python. Use the module outcomes to state requirements, demonstrate a working result, test an expected failure or boundary case, and document assumptions and follow-up work.
Course content
Course-specific syllabus and practical exercises. Lab release, access arrangements and final delivery scope are confirmed before enrolment.
01Python test foundations
+
- Test functions, assertions and setup
- Fixtures and isolation with pytest concepts
Practical exerciseApply python test foundations to the create maintainable automated checks using python and capture the validation evidence.
02Application checks
+
- HTTP and file-based test boundaries
- Mocks, stubs and deterministic inputs
Practical exerciseApply application checks to the create maintainable automated checks using python and capture the validation evidence.
03Maintainable suites
+
- Parameterized and layered tests
- Readable failure messages and coverage interpretation
Practical exerciseApply maintainable suites to the create maintainable automated checks using python and capture the validation evidence.
04Automation project
+
- Build checks for a sample service
- Run selected tests in CI and preserve actionable reports
Practical exerciseApply automation project to the create maintainable automated checks using python and capture the validation evidence.
05Applied project: Create maintainable automated checks using Python
+
- Define inputs, assumptions and acceptance criteria for: Create maintainable automated checks using Python.
- Implement the project using python test foundations, application checks, maintainable suites, automation project.
Practical exerciseCreate maintainable automated checks using Python.
06Test Automation with Python — validation and review
+
- Demonstrate the completed project against its acceptance criteria.
- Exercise an invalid-input or failure scenario and document the observed result.
Practical exercisepresent the project evidence, limitations and a repeatable handover.
Technical references
These primary vendor, project or standards sources inform this independent IT Purview outline. Reference pages checked 25 October 2026; current provider documentation and exam objectives take precedence when versions change.
From understanding to application.
Progress by learning milestone. The schedule is agreed around your starting level and learning goals.
- 01Learning milestone 1 In progress
Set the context
Python test foundations · Application checks
Establish the Test Automation with Python scope, baseline concepts and operating assumptions. - 02Learning milestone 2 In progress
Build the working skills
Maintainable suites · Automation project
Apply the core Test Automation with Python techniques in the course lab and record the result. - 03Learning milestone 3 In progress
Validate and handle exceptions
Check expected behavior, investigate a failure case and capture evidence for create maintainable automated checks using python. - 04Learning milestone 4 In progress
Deliver the applied project
Complete create maintainable automated checks using python, explain key decisions and identify a practical next step.
Career outlook after this learning path
Typical roles this roadmap can support, with broad salary ranges by relevant work experience.
| Role | 0–3 years | 3–7 years | 7–12+ years |
|---|---|---|---|
| QA Automation Engineer | ₹4–9 LPA | ₹8–16 LPA | ₹20–36 LPA |
Ranges are indicative India-market compensation estimates in ₹ lakh per annum, not a salary promise. They reflect broad market guides and vary by location, employer, skills and role scope; the experience bands refer to relevant work experience, not time since training. Completing this course does not guarantee employment, a role, compensation or career progression. View market reference ↗