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GitHub Copilot

Price
595 USD
1 Day
MOC-GH-300T00
Classroom Training, Online Training
Microsoft

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Course Description

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.

Explore the fundamentals of GitHub Copilot and its potential to enhance productivity and foster innovation for both individual developers and businesses. Discover how to implement it within your organization and unleash its power for your own projects.
 

Objectives

After completing this course, students will be able to:
  • Understand how to utilize GitHub Copilot across various environments responsibly and securely.
  • Learn advanced functionalities of GitHub Copilot and how to best use them.
  • Craft effective prompts that optimize GitHub Copilot's performance, ensuring precision and relevance in every code suggestion.
  • Understand the intricate relationship between prompts and Copilot's responses and utilize best practices in prompt engineering.
  • Understand how to utilize GitHub Copilot's auto-suggestions, multiple suggestions pane, and its ability to adapt to different coding styles.
  • Understand how to provide context to GitHub Copilot through inline comments, block comments, doc strings, and other types of comments to enhance code generation accuracy.
  • Understand how to interact with GitHub Copilot through natural language conversations to generate complex code, debug issues, and obtain code explanations in real-time.
  • Understand how to improve the relevance of GitHub Copilot Chat's suggestions by using scope referencing, slash commands, and agents
  • Understand how to interact with GitHub Copilot in CLI to get command explanations, suggestions, and even execute commands based on specific needs.

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.

Prerequisites

    Basic understanding of GitHub fundamentals
     

Topics

  • GitHub Copilot Fundamentals Part 1 of 2 Responsible AI with GitHub Copilot
    • Introduction
    • Mitigate AI risks
    • Microsoft and GitHub's six principles of responsible AI
    • Module assessment
  • Introduction to GitHub Copilot
    • Introduction
    • GitHub Copilot, your AI pair programmer
    • Interact with Copilot
    • Set up, configure, and troubleshoot GitHub Copilot
    • Exercise - Develop with AI-powered code suggestions by using GitHub Copilot and VS Code
    • Module assessment
    Introduction to prompt engineering with GitHub Copilot
    • Introduction
    • Prompt engineering foundations and best practices
    • GitHub Copilot user prompt process flow
    • GitHub Copilot data
    • GitHub Copilot Large Language Models (LLMs)
    • Module assessment
    Using advanced GitHub Copilot features
    • Introduction
    • Advanced GitHub Copilot features
    • Exercise - Set up GitHub Copilot to work with Visual Studio Code
    • Applied GitHub Copilot techniques
    • Exercise - Update a web API with GitHub Copilot
    • Module assessment
    GitHub Copilot Across Environments: IDE, Chat, and Command Line Techniques
    • Introduction
    • Code completion with GitHub Copilot
    • GitHub Copilot Chat
    • GitHub Copilot for the Command Line
    • Module assessment
    Management and customization considerations with GitHub Copilot
    • Introduction
    • Explore GitHub Copilot plans and their associated management and customization features
    • Explore contractual protections in GitHub Copilot and disabling matching public code
    • Manage content exclusions
    • Troubleshoot common problems with GitHub Copilot
    • Module assessment
  • GitHub Copilot Fundamentals Part 2 of 2 Developer use cases for AI with GitHub Copilot
    • Introduction
    • Boost developer productivity with AI
    • Align with developer preferences
    • AI in the Software Development Lifecycle (SDLC)
    • Understand limitations and measure impact
    • Module assessment
  • Develop unit tests using GitHub Copilot tools
    • Introduction
    • Examine the unit testing tools and environment
    • Exercise - Create unit tests by using GitHub Copilot Chat
    • Exercise - Create unit tests for specific conditions by using GitHub Copilot
    • Exercise - Complete the 'create unit tests' challenge
    • Review the 'create unit tests' solution
    • Module assessment
    Introduction to GitHub Copilot Business
    • Introduction
    • About GitHub Copilot for Business
    • GitHub Copilot for Business use cases and customer stories
    • How to get started with GitHub Copilot for Business
    • Module assessment
    Introduction to GitHub Copilot Enterprise
    • Introduction
    • About GitHub Copilot Enterprise
    • How to get started
    • Module assessment
    Using GitHub Copilot with JavaScript
    • Introduction
    • What is GitHub Copilot
    • Exercise - Set up GitHub Copilot to work with Visual Studio Code
    • Use GitHub Copilot with JavaScript
    • Exercise - Update a JavaScript portfolio with GitHub Copilot
    • Module assessment
    Using GitHub Copilot with Python
    • Introduction
    • What is GitHub Copilot?
    • Exercise - Set up GitHub Copilot to work with Visual Studio Code
    • Use GitHub Copilot with Python
    • Exercise - Update a Python web API with GitHub Copilot
    • Module assessment
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