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Codecademy

GitHub Copilot Certification

via Codecademy Path

Overview

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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.
  • GitHub Copilot Certification Practice Exam
    • Practice for the GitHub Copilot Certification with exam-like questions.

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