Remote Course for GH-300T00-A: GitHub Copilot

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Description
Content
Target Audience
Certificates

GitHub Copilot introduces learners to GitHub’s AI-powered coding assistant, designed to accelerate development by generating real-time code suggestions. The course explores how Copilot integrates with popular IDEs and GitHub.com, supports multiple programming languages, and enhances productivity while addressing ethical and operational considerations. Participants will learn how Copilot generates suggestions, evaluate AI-assisted code for accuracy and security, and apply responsible AI practices across diverse development workflows.

Through a combination of conceptual learning and hands-on labs, learners will configure Copilot, refine code suggestions, and implement advanced features for writing functions and tests. The course also covers enterprise-level capabilities, governance, and compliance, making it suitable for individual developers and teams. By the end, participants will confidently use GitHub Copilot to improve efficiency while maintaining transparency, fairness, and accountability in AI-assisted development.

Contents:

Introduction to GitHub Copilot to explore its AI-powered capabilities, integration with IDEs, and the productivity benefits for developers and teams.
Getting Started and Working with Suggestions to set up Copilot, navigate AI-assisted coding, and refine inline code suggestions for optimal workflow.
Using Copilot Across Languages to apply Copilot effectively in Python, JavaScript, and other popular languages with practical examples.
Writing Functions, Tests, and Advanced Features to generate complete functions, automate unit tests, and leverage advanced Copilot functionalities for clean, reusable code.
Responsible AI Use and Best Practices to understand ethical considerations, security measures, and limitations for safe and effective implementation.
Business and Enterprise Capabilities to explore Copilot tiers, governance, compliance, and collaboration features for organisations.
Real-World Use Cases and Hands-On Projects to apply Copilot in real development scenarios, improve team productivity, and streamline coding processes.

This course is intended for software developers and technical professionals seeking to enhance productivity with GitHub Copilot. It is suitable for those interested in leveraging AI-powered code suggestions, prompt engineering, and responsible AI practices to optimize workflows. Recommended prerequisites include experience with GitHub and coding fundamentals. The course provides practical skills for integrating Copilot into development environments and improving efficiency.

GitHub Copilot, issued by Microsoft upon passing the official certification exam.

Description

Content

Contents:

Introduction to GitHub Copilot to explore its AI-powered capabilities, integration with IDEs, and the productivity benefits for developers and teams.
Getting Started and Working with Suggestions to set up Copilot, navigate AI-assisted coding, and refine inline code suggestions for optimal workflow.
Using Copilot Across Languages to apply Copilot effectively in Python, JavaScript, and other popular languages with practical examples.
Writing Functions, Tests, and Advanced Features to generate complete functions, automate unit tests, and leverage advanced Copilot functionalities for clean, reusable code.
Responsible AI Use and Best Practices to understand ethical considerations, security measures, and limitations for safe and effective implementation.
Business and Enterprise Capabilities to explore Copilot tiers, governance, compliance, and collaboration features for organisations.
Real-World Use Cases and Hands-On Projects to apply Copilot in real development scenarios, improve team productivity, and streamline coding processes.

Target Audience

Certificates

GitHub Copilot, issued by Microsoft upon passing the official certification exam.

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- Angela Petreska Accredited Academy for Interior Design

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