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GH-300: GitHub Copilot

Because we know just how hard it is to get the size.

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GH-300: GitHub Copilot

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Course Information

Course Name

GH-300: GitHub Copilot

Exam code

GH-300

Duration

1 Day

Overview

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.

Overview

Overview

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 Profile

  • 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.

Prerequisites

  • Basic understanding of GitHub fundamentals

Course Outline

This module explores the responsible use of AI in the context of GitHub Copilot, a generative AI tool for developers. It will equip you with the knowledge and skills to leverage Copilot effectively while mitigating potential ethical and operational risks associated with AI usage.

GitHub Copilot uses OpenAI Codex to suggest code and entire functions in real time, right from your editor.

Discover the essentials of creating effective prompts with GitHub Copilot. Uncover techniques to transform your coding comments into precise, actionable code, enhancing your development workflow.

Use advanced GitHub Copilot features with a Python application.

Explore the multifaceted capabilities of GitHub Copilot across various development environments. Learn to harness AI-assisted coding in your IDE, engage in natural language conversations for complex tasks, and enhance your command-line productivity.

In this module, we explore management and customization considerations with GitHub Copilot.

This module explores how GitHub Copilot streamlines developer productivity through AI-powered features. It enhances the Software Development Life Cycle (SDLC), aligns with developer preferences, and identifies key limitations. Additionally, it measures productivity gains effectively.

 

This module explores using GitHub Copilot and GitHub Copilot Chat to create unit tests. Exercises provide practical experience creating unit test projects and running unit tests in Visual Studio Code.

Learn about the difference between GitHub Copilot Business versus GitHub Copilot Individuals. Also learn about specific use cases and customer stories for GitHub Copilot Business as well as how to enable it.

Learn about the differences between GitHub Copilot for Enterprise, for Business, and for Individuals. Examine specific use cases, including how to enable and use GitHub Copilot Enterprise.

To work with JavaScript, take advantage of GitHub Copilot, an AI pair programmer that boosts productivity with autocomplete-style suggestions.

GitHub Copilot is an AI pair programmer that offers autocomplete-style suggestions as you code in Python.

Course Price

RM1,400.00 exc. 8% tax

Training Dates
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Certification Details