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GitHub Copilot Certification

via Codecademy Path

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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.