Do I need prior experience to enroll?

No prerequisite is required. The course is beginner-friendly, and no prior experience with Generative AI or GitHub Copilot is required. Basic software testing and JavaScript knowledge can be helpful.

What certification will I receive?

You will earn the GitHub Copilot JavaScript Testing Training Certificate, validating your proficiency in AI-assisted software testing, GitHub Copilot, JavaScript, test case creation, requirement analysis, and AI-driven testing workflows.

How does this course help in real-world scenarios?

It helps you analyze requirements, create acceptance criteria, generate test cases and test data, optimize regression testing, execute tests, detect bugs, and improve testing efficiency using AI-assisted workflows.

Will I learn how to use GitHub Copilot for testing?

Yes. You will use GitHub Copilot to analyze requirements, generate test cases and scenarios, create test data, optimize testing workflows, detect bugs, and support test execution.

What testing concepts are covered?

The course covers testing fundamentals, test planning, test case development, scenario-based testing, regression testing, dynamic testing, exploratory testing, test execution, test cycle closure, and bug detection.

Will I learn Generative AI in software testing?

Yes. You will explore how Generative AI enhances traditional testing approaches and apply it to requirement analysis, test planning, test generation, test execution, failure prediction, and bug detection.

Does the course include practical learning?

Yes. The course includes hands-on demonstrations using GitHub Copilot, GitHub Actions, JavaScript, practical testing workflows, and real-world examples, including a Microsoft case study.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

GitHub Copilot JavaScript Testing Training

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GitHub Copilot JavaScript Testing Training

Ce cours fait partie de Spécialisation "Essential AI Powered Developer Tools Certification"

Instructeur : Priyanka Mehta

Inclus avec En savoir plus

5 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

1 semaine à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

5 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

1 semaine à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

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

Compétences que vous acquerrez

Catégorie : Test Case
Catégorie : Javascript
Catégorie : Test Execution Engine
Catégorie : Requirements Analysis
Catégorie : Test Data
Catégorie : Scenario Testing
Catégorie : Debugging
Catégorie : Test Planning
Catégorie : Test Tools
Catégorie : Test Engineering
Catégorie : Acceptance Testing
Catégorie : User Story
Catégorie : Regression Testing
Catégorie : Test Automation
Catégorie : Software Testing

Outils que vous découvrirez

Catégorie : Generative AI
Catégorie : GitHub

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Récemment mis à jour !

septembre 2026

Évaluations

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Élaborez votre expertise du sujet

Ce cours fait partie de la Spécialisation "Essential AI Powered Developer Tools Certification"

Lorsque vous vous inscrivez à ce cours, vous êtes également inscrit(e) à cette Spécialisation.

Apprenez de nouveaux concepts auprès d'experts du secteur
Acquérez une compréhension de base d'un sujet ou d'un outil
Développez des compétences professionnelles avec des projets pratiques
Obtenez un certificat professionnel partageable

Il y a 5 modules dans ce cours

This comprehensive Generative AI for Software Testing Training course builds essential skills in AI-assisted testing, requirement analysis, test planning, test case generation, test data creation, regression testing, and bug detection. Learn to use Generative AI and GitHub Copilot with JavaScript to create, prioritize, execute, and optimize testing workflows while improving coverage, efficiency, quality, and reliability.

By the end of this course, you will be able to: - Master GenAI for Testing: Apply Generative AI to modern software testing workflows - Analyze Requirements: Refine requirements and create acceptance criteria using GenAI - Generate Test Cases: Create test cases, scenarios, and synthetic test data with GitHub Copilot - Optimize Test Execution: Improve regression testing, test prioritization, and dynamic testing - Detect Bugs: Use AI-assisted techniques for failure prediction, bug detection, and test cycle closure - Build Practical Skills: Apply GenAI testing through hands-on demos, GitHub Actions, and real-world case studies Ideal for beginners, students, software testers, QA professionals, developers, and aspiring AI testing professionals with basic software testing and JavaScript knowledge who want to build practical Generative AI, GitHub Copilot, and AI-assisted software testing skills.

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.

Inclus

7 vidéos1 lecture3 devoirs

7 vidéosTotal 23 minutes

Course Introduction GitHub Copilot in Software Testing with JavaScript2 minutes
Kickstarting GitHub Copilot in Software Testing with JavaScript4 minutes
Learning Objective1 minute
Software Testing Basics and How Generative AI Enhances It1 minute
Traditional vs. Generative AI Testing1 minute
Generative AI in Software Testing How It Works and Its Key Benifits3 minutes
Demo: Comparing Traditional and GitHub Copilot based Test Case Creation12 minutes

1 lectureTotal 10 minutes

Course Syllabus10 minutes

3 devoirsTotal 130 minutes

Assessment for Introduction to Generative AI in Software Testing60 minutes
Quiz on Course Introduction15 minutes
Quiz on Introduction to Generative AI in Testing55 minutes

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.

Inclus

7 vidéos3 devoirs

7 vidéosTotal 38 minutes

Software Testing Phases The Generative AI Way4 minutes
How GenAI Helps in Understanding and Refining Requirements3 minutes
How GenAI Helps Create Acceptance Criteria from User Stories2 minutes
Demo: Analyzing Requirements Using GitHub Copilot — Part 16 minutes
Demo: Analyzing Requirements Using GitHub Copilot — Part 29 minutes
GenAI: Test Planning 3 minutes
Demo: Optimizing Test Planning for Healthcare Analytics Platform Using GitHub Copilot11 minutes

3 devoirsTotal 130 minutes

Assessment for Requirement Analysis and Test Planning with GenAI60 minutes
Quiz on Testing Phases and Requirement Analysis15 minutes
Quiz on GenAI: Test Planning55 minutes

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.

Inclus

11 vidéos3 devoirs

11 vidéosTotal 52 minutes

Generative AI in Software Testing: Phases, Applications and Automated Test Case Generation5 minutes
Demo: Automating the Test Case Generation Using Copilot11 minutes
GenAI in Software Testing Data and Scenario Generation4 minutes
Demo: Creating and Executing Scenario Based Testing Using GitHub Copilot10 minutes
Regression Testing Optimization and Its Benefits2 minutes
Failure Prediction and Analysis2 minutes
Failure Prediction and Analysis Benefits2 minutes
Dynamic Test Case Adjustment1 minute
Exploratory Testing Support1 minute
Integration with Testing Tools and Examples2 minutes
Demo: Creating Dynamic Test Cases and Integrating GitHub Actions with GitHub Copilot12 minutes

3 devoirsTotal 130 minutes

Assessment for GenAI-Driven Test Case and Scenario Generation60 minutes
Quiz on Test Case and Scenario Generation15 minutes
Quiz on Regression, Failure Prediction, and Dynamic Testing55 minutes

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.

Inclus

8 vidéos3 devoirs

8 vidéosTotal 45 minutes

Role of GenAI in Test Case Development2 minutes
Generating Test Cases, Synthetic Data, and Augmented Test Data: Examples3 minutes
Demo Generating Synthetic and Augmented Datasets Using Github Copilot11 minutes
Creating, Prioritizing, and Automating Test Scenarios: Example4 minutes
Demo: Automating Test Case Prioritization and Documentation Using GitHub Copilot10 minutes
Role of GenAI in Environment Setup2 minutes
Role of GenAI in Test Execution3 minutes
Demo: Optimizing Test Execution Using GitHub Copilot10 minutes

3 devoirsTotal 130 minutes

Assessment for GenAI in Test Case Development and Execution60 minutes
Quiz on Test Case Development15 minutes
Quiz on Environment Setup and Test Execution55 minutes

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.

Inclus

9 vidéos4 devoirs

9 vidéosTotal 24 minutes

Role of GenAI in Test Cycle Closure2 minutes
Demo: Automating Test Cycle Closure Using GitHub Copilot4 minutes
Understanding Bug Detection and Its Methods3 minutes
Generative AI in Bug Detection2 minutes
Bug Detection Using GitHub Copilot1 minute
Demo: Bug Detection using GitHub Copilot4 minutes
Emerging Trends and Advancements in Generative AI Testing3 minutes
Case Study: Microsoft Enhancing Software Testing Efficiency with GitHub Copilot5 minutes
Key Takeaways1 minute

4 devoirsTotal 145 minutes

Assessment for Test Cycle Closure and Bug Detection60 minutes
Quiz on Test Cycle Closure15 minutes
Quiz on Bug Detection15 minutes
Quiz on Future Trends and Case Study55 minutes

Obtenez un certificat professionnel

Ajoutez ce titre à votre profil LinkedIn, à votre curriculum vitae ou à votre CV. Partagez-le sur les médias sociaux et dans votre évaluation des performances.

Instructeur

Priyanka Mehta

Simplilearn

100 Cours88 773 apprenants

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Foire Aux Questions

This course teaches AI-assisted software testing using Generative AI, GitHub Copilot, and JavaScript. You will learn requirement analysis, test planning, test case generation, test execution, regression testing, and bug detection.

Ideal for beginners, students, software testers, QA professionals, developers, programmers, and aspiring AI testing professionals looking to build practical AI-assisted testing skills.

You will learn software testing fundamentals, Generative AI testing, requirement analysis, acceptance criteria, test case and scenario generation, test data creation, regression testing, test execution, failure prediction, and bug detection.

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.

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