This instructor-led program focuses on unit testing fundamentals, test-driven development (TDD) concepts, Python testing frameworks, assertions, mocking, fixtures, test organization, automation workflows, and testing best practices.
Overview
Unit Testing with Python Training by AcadNXT is designed to provide participants with practical, hands-on expertise in software unit testing using Python. This instructor-led program focuses on unit testing fundamentals, test-driven development (TDD) concepts, Python testing frameworks, assertions, mocking, fixtures, test organization, automation workflows, and testing best practices. Participants will learn how to create reliable and maintainable unit tests for Python applications to improve code quality, maintainability, and software reliability. The course is ideal for Python developers, QA engineers, automation testers, and DevOps professionals involved in software quality assurance.
Learning Outcomes
• Understand unit testing principles and workflows
• Write effective unit tests using Python
• Implement assertions and validations
• Apply Test-Driven Development (TDD) practices
• Use fixtures and mocking techniques
• Organize reusable and maintainable test suites
• Automate test execution and reporting
• Apply software quality best practices in Python development
Duration & Delivery Mode
14 hours
Target Audience
• Python Developers
• QA Automation Engineers
• Software Test Engineers
• DevOps Engineers
• Backend Developers
• Software Quality Analysts
• Agile Development Teams
• IT Professionals involved in application development
Pre-requisites
• Basic knowledge of Python programming
• Understanding of software development concepts
• Familiarity with functions, classes, and modules in Python
• Basic awareness of software testing concepts is helpful
• No prior unit testing experience required
Skillset Achieved
• Understanding unit testing concepts and workflows
• Writing unit tests using Python testing frameworks
• Creating assertions and validation logic
• Implementing Test-Driven Development (TDD) concepts
• Using fixtures and setup/teardown methods
• Applying mocking and patching techniques
• Organizing reusable and maintainable test suites
• Automating test execution and reporting
• Debugging and optimizing test cases
• Applying Python testing best practices
Course Outcome
After completing Unit Testing with Python Training, participants will be able to design, execute, and maintain unit tests for Python applications using modern testing practices and frameworks. Learners will gain practical expertise in Python test automation, TDD workflows, mocking, and quality-focused software development.
Course Outline
Introduction to Unit Testing
• Overview of software testing concepts
• Importance of unit testing in software development
• Introduction to Python testing frameworks
• Understanding test case structure
• Setting up Python testing environments
Writing Unit Tests
• Creating basic unit tests
• Assertions and validations
• Testing functions and classes
• Organizing test modules and packages
• Running and managing test execution
Test-Driven Development (TDD)
• Introduction to TDD concepts
• Writing tests before implementation
• Refactoring with confidence
• Managing code quality using tests
• TDD workflow best practices
Advanced Python Testing Concepts
• Fixtures and setup/teardown methods
• Mocking and patching techniques
• Exception and edge case testing
• Parameterized testing concepts
• Managing reusable test utilities
Automation and Reporting
• Automating unit test execution
• Generating test reports
• Debugging failed test cases
• CI/CD integration overview
• Unit testing best practices for enterprise applications
Mini Project and Practical Implementation
• Building Python unit testing workflow
• Writing reusable and maintainable test cases
• Implementing TDD-based development approach
• Automating execution and reporting
• Final project review and optimization
Assessment Topics
• Unit testing fundamentals
• Python testing frameworks
• Assertions and validations
• TDD concepts and workflows
• Fixtures and mocking techniques
• Reporting and debugging
• Automation and CI/CD basics
• Mini project implementation
Evaluation
• Python unit testing exercises
• Assertion and validation assignments
• Mocking and fixture implementation tasks
• TDD workflow activities
• Mini project development and evaluation
• Debugging and reporting exercises
Course Materials
Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.
Certification
Participants who successfully complete the training will receive an AcadNXT Certification in Unit Testing with Python Training, validating their expertise in Python unit testing, Test-Driven Development, test automation, mocking techniques, and software quality engineering practices.
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What Our Students Say
“The training provided excellent practical exposure to Python unit testing and TDD workflows.”
“This course helped me understand assertions, mocking, and reusable test design very effectively.”
“I gained strong hands-on experience in building maintainable Python testing suites.”
“The instructor explained Python testing frameworks and debugging techniques in a highly structured manner.”
“AcadNXT delivered a highly practical Python testing program aligned with modern software quality standards.”