GitHub Copilot (GH-300) [M-GH300]

OVERVIEW

Explore the use of AI in the context of GitHub Copilot, a generative AI tool for developers.

This course explores the use of AI in the context of GitHub Copilot, a generative AI tool for developers. It equips users with the knowledge and skills to use Copilot effectively while mitigating potential ethical and operational risks associated with AI usage.

AUDIENCE

- AI Developers and Engineers: Professionals involved in creating and deploying AI systems who need to understand the ethical implications and governance frameworks.
- Data Scientists and Analysts: Individuals who work with data and AI models, focusing on ensuring transparency, fairness, and accountability in their work.
- Business Leaders and Managers: Decision-makers who oversee AI projects and need to implement responsible AI practices within their organizations.
- Policy Makers and Regulators: Those responsible for creating policies and regulations around AI usage, ensuring that AI systems are developed and used ethically and safely.

CONTENT

Module 1: GitHub Copilot Fundamentals Part 1 of 2

• Responsible AI with GitHub Copilot
• Introduction to GitHub Copilot
• Introduction to prompt engineering with GitHub Copilot
• Using advanced GitHub Copilot features
• GitHub Copilot Across Environments: IDE, Chat, and Command Line Techniques
• Management and customization considerations with GitHub Copilot

Module 2: GitHub Copilot Fundamentals Part 2 of 2

• Developer use cases for AI with GitHub Copilot
• Develop unit tests using GitHub Copilot tools
• Introduction to GitHub Copilot Business
• Introduction to GitHub Copilot Enterprise
• Using GitHub Copilot with JavaScript
• Using GitHub Copilot with Python