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GitHub Copilot JavaScript Testing Training

Simplilearn

GitHub Copilot JavaScript Testing Training

This course is part of Essential AI Powered Developer Tools Certification Specialization

Priyanka Mehta

Instructor: Priyanka Mehta

What you'll learn

  • Master GenAI for software testing with GitHub Copilot

  • Analyze requirements and generate test cases and scenarios

  • Optimize test data, regression testing, and test execution

  • Detect bugs and improve testing efficiency with AI-assisted workflows

Details to know

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Assessments

16 assignments¹

AI Graded see disclaimer
Taught in English
Recently updated!

September 2026

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Build your subject-matter expertise

This course is part of the Essential AI Powered Developer Tools Certification Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 5 modules in this course

Build a strong foundation in Generative AI for software testing with GitHub Copilot and JavaScript. Learn software testing fundamentals and understand how Generative AI enhances traditional testing practices. Compare traditional and AI-assisted testing approaches, explore how Generative AI works in software testing, and understand its key benefits. Gain practical experience creating and comparing test cases using GitHub Copilot.

What's included

7 videos1 reading3 assignments

This module focuses on using Generative AI for software testing, requirement analysis, and test planning. Learn how GenAI supports testing phases, refines software requirements, and creates acceptance criteria from user stories. Explore practical GitHub Copilot demonstrations for requirement analysis and optimize test planning for a healthcare analytics platform using AI-assisted testing workflows.

What's included

7 videos3 assignments

This module focuses on GenAI-driven software testing, automated test case generation, and dynamic testing. Learn to generate test cases, scenarios, and test data using Generative AI and GitHub Copilot. Explore regression testing optimization, failure prediction, dynamic test case adjustment, exploratory testing, and integration with testing tools. Apply hands-on workflows using GitHub Copilot and GitHub Actions to improve testing efficiency, coverage, and reliability.

What's included

11 videos3 assignments

This module focuses on using GenAI for test case development, synthetic data generation, test prioritization, and execution. Learn how Generative AI supports test case creation, documentation, automation, and environment setup. Explore synthetic and augmented datasets with GitHub Copilot, prioritize test scenarios, and optimize test execution through practical AI-assisted workflows to improve software testing efficiency, coverage, and reliability.

What's included

8 videos3 assignments

This module focuses on GenAI for test cycle closure, bug detection, and emerging software testing trends. Learn how Generative AI and GitHub Copilot streamline test cycle closure, identify software bugs, and improve testing efficiency. Explore emerging advancements in GenAI testing and analyze a Microsoft case study on using GitHub Copilot to enhance software testing. Apply key takeaways to strengthen AI-driven testing workflows.

What's included

9 videos4 assignments

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Priyanka Mehta
Simplilearn
100 Courses88,340 learners

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.