GitHub Copilot (GH-300) Course
Use AI to support software development
The GitHub Copilot (GH-300) course helps developers understand how generative AI can support coding and other software-development activities without removing the need for professional judgement.
Participants will explore how GitHub Copilot can assist with tasks such as generating code suggestions, explaining code, creating tests, working with different programming languages and interacting through the IDE, chat and command-line environments.
Get better and more responsible results from GitHub Copilot
Effective use of GitHub Copilot depends on understanding both its capabilities and its limitations. Participants will learn how prompt engineering can influence Copilot's responses and how developers can evaluate, refine and validate AI-generated suggestions.
The course also considers responsible AI, security, management and organisational use of GitHub Copilot, including GitHub Copilot Business and Enterprise.
It is suitable for developers and technical professionals who want to integrate AI assistance into their development workflow while maintaining appropriate oversight of the code and content being produced.
Course Schedule
1 day
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9:00am - 5:00pm
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Online Live
£570 per delegate
1 day
8:00am - 4:00pm
Online Live
£570 per delegate
1 day
9:00am - 5:00pm
Online Live
£570 per delegate
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Course Code: GH-300
Duration: 1 Day
Course 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.
Target 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.
Course 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
Note - This course is delivered via our training partner Global Knowledge.
Public Schedule
Private Virtual Training (Teams / Zoom)
N/A
Private Onsite Training (at your offices)
N/A
Note
All prices exclude VAT at 20%.
VAT registration number: 450 4347 14
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