GitHub Copilot Certification

Overview

Prepare for GitHub Copilot certification with comprehensive practice covering AI-assisted development, testing, privacy, and enterprise implementation.

Syllabus

• Responsible AI
Explore GitHub Copilot's features, AI risks, validation techniques, and mitigation strategies. Master installation, configuration, and troubleshooting.
• GitHub Copilot Plans and Features
Learn GitHub Copilot's interface, code completion, customization, and chat features. Explore subscription tiers, productivity use cases, limitations, and CLI.
• How GitHub Copilot Works and Handles Data
Explore GitHub Copilot's data handling, code completion vs chat patterns, prompt types, contextual info gathering, and response generation processes.
• Prompt Crafting and Prompt Engineering
Learn prompt engineering fundamentals for GitHub Copilot: key components, zero-shot vs few-shot approaches, context management, and efficient workflows.
• Developer Uses Cases for AI
Apply GitHub Copilot to learn languages, translate code, generate docs, create sample data, modernize legacy apps, debug, and integrate across SDLC.
• Testing with GitHub Copilot
Use GitHub Copilot to generate test suites, create boilerplates, implement assertions, improve code quality, conduct reviews, and identify security issues.
• Privacy Fundamentals and Context Exclusions
Compare Copilot subscriptions, configure privacy settings, customize behavior, set exclusions, understand ownership protections, and troubleshoot issues.
• GitHub Copilot Certification Practice Exam
Practice for the GitHub Copilot Certification with exam-like questions.

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Subjects

Programming