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Library / Artificial Intelligence

GitHub Copilot for Software Testing: GenAI & Agentic AI

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About this course

GitHub Copilot for Software Testing: From GenAI to Agentic STLCTransform the Way You Test Software with AI!

Are you a software tester looking to leverage Generative AI? Do you want to explore AI-powered testing but feel that you need strong programming skills or an AI engineering background?

This course is for you!

Welcome to GitHub Copilot for Software Testing, a practical learning journey designed to help you understand and apply GitHub Copilot across the Software Testing Life Cycle (STLC).

Whether you are a manual tester, automation engineer, test lead, test manager, Business Analyst, Project Manager, student, or fresher aspiring to build a career in software testing, this course will help you explore how AI can enhance your testing capabilities.

Why Learn GitHub Copilot for Software Testing?

Software testing involves several activities, including requirement analysis, test planning, test estimation, test design, test case generation, automation scripting, execution, defect analysis, and reporting.

Generative AI can assist with these activities by reducing repetitive effort, accelerating test development, and helping testers focus on quality and critical thinking.

GitHub Copilot offers AI-powered capabilities that can help you understand code, generate test scripts, analyze requirements, and work with development and testing tools.

In this course, you will explore how to use these capabilities in practical testing scenarios.

What Will You Learn?

By the end of this course, you will be able to:

  • Understand GitHub Copilot: Explore its capabilities, benefits, and applications in software testing.
  • Set Up Your Environment: Configure GitHub Copilot and prepare your development environment.
  • Explore Copilot Features: Learn Ask Mode, Plan Mode, Agent Mode, Custom Instructions, and Custom Agents.

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