Introduction
Introducing the course
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1. Explain the Responsible Usage of AI
Learning objectives
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Learn the risks associated with using AI tools in software development
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Learn the limitations of generative AI
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Discover why validating AI-generated code is essential for quality and security
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Identify best practices for responsibly operating AI tools
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Mitigate potential harms, such as bias and insecure code
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Define ethical AI principles and how they apply to GitHub Copilot
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2. Identify the Features of GitHub Copilot Individual
Learning objectives
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Learn the available features in the integrated development environment (IDE) for GitHub Copilot Individual
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Identify the main differences between GitHub Copilot Individual and Business
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Configure GitHub Copilot settings for individual users
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3. Identify the Features of GitHub Copilot Business
Learning objectives
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Exclude specific files from GitHub Copilot suggestions
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Establish organization-wide policy management for AI usage
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Learn the purpose and use of organization audit logs to monitor GitHub Copilot activity
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Manage GitHub Copilot Business subscriptions via the REST API
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4. Identify the Features of GitHub Copilot Enterprise
Learn the benefits of using GitHub Copilot Enterprise for large-scale development teams
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Get familiar with GitHub Copilot knowledge bases
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Create and manage knowledge bases to improve code quality, consistency, and efficiency
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Identify the benefits of using custom models for enhanced AI code suggestions
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5. Identify the Main Features of GitHub Copilot Chat
Identify the key use cases where GitHub Copilot chat is most effective
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Share feedback about Copilot chat to improve its performance
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Learn best practices for Copilot chat, including available slash commands
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Learn the limitations of GitHub Copilot chat
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6. Describe How GitHub Copilot Handles Data
Learn how GitHub Copilot processes data for code suggestions
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Learn how GitHub Copilot uses and shares data for individuals and businesses
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Identify the different input types Copilot processes and how they affect the output
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Explain the data flow for GitHub Copilot chat and Copilot IDE integrations
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7. Describe the GitHub Copilot Data Pipeline Lifecycle
Learning objectives
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Visualize the lifecycle of a GitHub Copilot code suggestion
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Learn how GitHub Copilot gathers context and builds a prompt
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Learn about the role of proxy services and filtering mechanisms in Copilot’s data pipeline
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Discover how the large language model generates and post-processes responses
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8. Describe the Limitations of GitHub Copilot
Learning objectives
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Learn how frequent examples in source data affect code suggestions
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Discover how the age of source data affects the relevance of suggestions
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Identify the challenges of limited context windows in Copilot’s prompt handling
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9. Use GitHub Copilot in the Command-Line Interface (CLI)
Learn the steps for installing GitHub Copilot in the CLI
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Identify common commands and their use cases when working with GitHub Copilot in the CLI
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Configure settings within GitHub Copilot for CLI usage
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10. Describe Prompt Engineering and Prompt Crafting Fundamentals
Learn the fundamentals of prompt engineering
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Learn the structure and key components of an effective prompt
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Identify best practices for crafting prompts to maximize Copilot’s output quality
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See how GitHub Copilot prompts use chat history
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11. Improve Developer Productivity with GitHub Copilot
Learning objectives
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See common use cases where GitHub Copilot enhances productivity
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Learn how Copilot aids in managing the software development lifecycle
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Use the GitHub Copilot productivity API to measure impact
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12. Enhance Code Quality Through Testing
Learn how GitHub Copilot can assist in generating unit tests, integration tests, and edge case tests
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Learn how Copilot identifies potential edge cases and suggests test improvements
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Write assertions and boilerplate code for various test types using Copilot
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13. Leverage GitHub Copilot for Security and Performance
Learning objectives
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Learn how GitHub Copilot identifies potential security vulnerabilities in code
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Learn how Copilot can suggest performance optimizations
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See how Copilot supports collaborative code reviews with security best practices
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14. Describe the Different SKUs for GitHub Copilot
Learning objectives
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Identify the available SKUs for GitHub Copilot, including its Individual, Business, and Enterprise plans
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Understand the privacy considerations for each SKU
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Learn the configuration options for code suggestions at the organization level
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15. Identify Content Exclusions
Learning objectives
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Configure content exclusions at the repository and organization level
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Understand the effects and limitations of content exclusions on Copilot’s suggestions
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Learn about ownership considerations for GitHub Copilot outputs
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16. Explain the GitHub Copilot Safeguards
Learning objectives
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Learn about Copilot’s duplication detection filter
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Understand the contractual protections available for Copilot users
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Enable and disable duplication detection, prompt collection, and suggestion collection settings
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17. Troubleshoot GitHub Copilot
Learning objectives
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Resolve common issues, such as missing code suggestions in the editor
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Identify troubleshooting steps when context exclusions do not apply as expected
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Trigger GitHub Copilot when suggestions are absent or suboptimal
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18. Review for the GitHub Copilot Certification
Learning objectives
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Recap key concepts
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Work through sample exam questions
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Learn test-taking strategies and tips for success
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19. Explore the Future of AI-Powered Development
Learning objectives
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Learn the upcoming trends in AI-assisted development
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Identify new features and future updates expected in GitHub Copilot
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Understand the importance of continued learning and skill development in AI-driven software engineering
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Conclusion
Look back on what you've learned
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