LinkedIn – Software Testing Assistance with GitHub Copilot AI 2024-8

Software Testing Assistance with GitHub Copilot AI course. In this course, you’ll learn how to use artificial intelligence, specifically GitHub Copilot, to improve automated testing in your software development process. Course instructor Gary Kovar shows you how to effectively write, rewrite, and generate tests to ensure the quality and stability of your code. Gary begins by reviewing Copilot’s capabilities, the basics of automated testing, and how AI can significantly boost your test coverage and code quality. Learn how to configure a test suite, identify testable code, and easily generate meaningful tests. Hands-on sessions on rewriting with tests ensure you add a layer of safety to your development process. After completing this course, you’ll be ready to use GitHub Copilot to generate automated tests from existing code and create new code after writing tests.

What you will learn:

• Deep understanding of GitHub Copilot capabilities: Learn how to use this powerful tool to increase productivity in automated testing.
• Automated Testing Fundamentals: Learn the basics of automated testing so you can write effective and efficient tests.
• Generate Automated Tests: Learn how to quickly and easily create new tests using GitHub Copilot.
• Rewrite code with tests: Make sure your code changes are stable and reliable.
• Increase test coverage: Improve your test coverage to ensure the high quality of your code.

This course is suitable for people who:

• Looking to improve their software development process.
• They want to improve the quality of their code.
• Interested in learning new artificial intelligence tools.
• Want to write automated tests more efficiently.
• Software developers at any level

Course specifications Software Testing Assistance with GitHub Copilot AI

• Publisher: LinkedIn
• Instructor: Gary Kovar
• Training level: beginner to advanced
• Training duration: 1 hour and 16 minutes

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Sample video of the course

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Download file – 205 MB

File(s) password: www.downloadly.ir

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205 MB