GitHub Copilot for Software Testing: GenAI & Agentic AI

Name: GitHub Copilot for Software Testing: GenAI & Agentic AI
Price: 84.99 USD
Availability: InStock

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Korshub's take

Korshub Take: Practical AI for the Entire Testing Lifecycle

This course is a hands-on bridge between traditional testing roles and the emerging world of AI-assisted workflows. It is uniquely positioned to serve manual testers, automation engineers, and even project managers who need to understand how Copilot fits into the Software Testing Life Cycle (STLC) without requiring a deep AI engineering background.

Who It's For & Key Takeaways

For: Manual testers, test leads, BAs, students, and freshers looking to upskill in AI-driven quality assurance.
Key Takeaways: Learn to configure Copilot environments, leverage Ask/Plan/Agent modes, and integrate with tools like Jira and MCP. You will also master BDD scenario generation, Selenium/API automation assistance, and advanced features like Copilot Spaces and CLI.

About this course

GitHub Copilot for Software Testing: From GenAI to Agentic STLC

Transform 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.
Understand MCP: Learn the fundamentals of Model Context Protocol and create a simple local MCP server.
Integrate with Jira: Explore Jira MCP integration to retrieve user stories and assist with test case generation.
Apply Agentic STLC: Use AI-assisted workflows for requirement analysis, test planning, and test design.
Generate BDD Test Cases: Create structured test scenarios using Behaviour-Driven Development (BDD).
Build Selenium Automation: Use Copilot to assist with UI automation script development.
Explore API Automation: Apply Copilot to API testing and automation activities.
Discover Advanced Features: Explore Copilot Skills, Copilot Spaces, and GitHub Copilot CLI.

Who Should Take This Course?

This course is designed for:

Manual testers who want to explore AI-powered testing.
Automation testers who want to accelerate script development.
Test leads and test managers who want to understand AI-driven testing workflows.
Business Analysts and Project Managers interested in AI-assisted software quality.
Students and freshers preparing for a career in software testing.
Software professionals who want to understand the practical applications of GitHub Copilot.