Integrating Test-Driven Development into Your Workflow
Master advanced TDD practices including refactoring, continuous integration, and exception handling.
Master advanced TDD practices including refactoring, continuous integration, and exception handling.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Test-Driven Development Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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(12 ratings)
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What you'll learn
Refactor legacy code effectively
Implement continuous integration
Handle code exceptions properly
Automate testing processes
Integrate TDD best practices
Skills you'll gain
This course includes:
0.32 Hours PreRecorded video
8 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This advanced course covers implementing TDD in software development workflows. Students learn to refactor legacy code, implement continuous integration, and handle exceptions through practical Python projects.
Refactoring Legacy Code
Module 1 · 4 Hours to complete
Continuous Integration
Module 2 · 3 Hours to complete
Continuous Delivery/Deployment
Module 3 · 3 Hours to complete
Exception Handling
Module 4 · 3 Hours to complete
Fee Structure
Instructor
Distinguished Software Development Instructor and Test-Driven Development Expert
Doug Purcell serves as an instructor at LearnQuest, specializing in Test-Driven Development (TDD) methodologies and software engineering best practices. His expertise focuses on teaching developers how to integrate TDD into their daily workflow, emphasizing clean code practices and efficient testing strategies. As the lead instructor for the Test-Driven Development Specialization, he has helped over 3,400 students master TDD principles and practices. His teaching methodology combines theoretical concepts with practical applications, using Python-based examples and hands-on projects. His courses consistently receive high ratings (4.3/5.0) from students, reflecting his ability to make complex testing concepts accessible to learners of varying skill levels
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Frequently asked questions
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