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GitHub Copilot (GH-300)

SS Course: GK834098

Course Overview

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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.

                                                                  

Scheduled Classes

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07/11/25 - GVT - Virtual Classroom - Virtual Instructor-Led
10/17/25 - GVT - Virtual Classroom - Virtual Instructor-Led
12/19/25 - GVT - Virtual Classroom - Virtual Instructor-Led

Outline

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Module 1: GitHub Copilot Fundamentals Part 1

  • 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

  • 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

    Prerequisites

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      Who Should Attend

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      • 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.