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What
You’ll Learn
You’ll Learn
- Understand and Apply GitHub Copilot Capabilities
- Solve Real-World Coding Challenges with GitHub Copilot
- Prepare for the GitHub Copilot Certification Exam
- Optimize Development Workflow with GitHub Copilot
- Master Key Concepts and Best Practices
Requirements
- This course is suitable for beginners in AI-assisted coding! No prior experience with GitHub Copilot is needed
- making it accessible for those new to AI-powered development tools.
Description
Course Description: GitHub Copilot Certification Practice Test
Prepare thoroughly for the GitHub Copilot Certification with this practice test course, designed to cover all key exam domains. Our course includes practice questions, explanations, and insights to boost your understanding and readiness. Here’s a detailed breakdown of what you’ll learn:
1. Responsible AI:
– Explore the ethical implications and risks associated with AI in development.
– Understand how to use GitHub Copilot responsibly, covering limitations, biases, and the need for output validation.
– Learn about potential harms, such as privacy and security risks, and strategies for mitigation.
2. GitHub Copilot Plans and Features:
– Gain knowledge of the different GitHub Copilot plans (Individual, Business, and Enterprise) and their features.
– Learn to navigate GitHub Copilot within various development environments, including IDE integrations, CLI, and GitHub
– Understand features like audit logs, organization-wide policy management, and GitHub Copilot Chat.
3. How GitHub Copilot Works and Handles Data:
– Delve into GitHub Copilot’s data processing, data flow for suggestions, and prompt generation.
– Learn how GitHub Copilot gathers context, handles input, and processes outputs.
– Understand limitations of the underlying model, such as context window constraints and the impact of older examples on output quality.
4. Prompt Crafting and Prompt Engineering:
– Master the art of prompt crafting, including zero-shot and few-shot prompting techniques.
– Learn prompt engineering fundamentals to generate precise and contextually relevant responses.
– Discover best practices for creating effective prompts to maximize GitHub Copilot’s capabilities.
5. Developer Use Cases for AI:
– Explore practical AI use cases for enhancing productivity, including debugging, code refactoring, and documentation.
– Learn how GitHub Copilot can streamline various stages of the Software Development Lifecycle (SDLC).
– Understand how to use AI-driven tools to improve efficiency and quality across development tasks.
6. Testing with GitHub Copilot:
– Learn to generate unit tests, integration tests, and edge-case tests using GitHub Copilot.
– Enhance your understanding of test quality improvement through AI-driven suggestions.
– Discover configurations and privacy considerations to maintain security and compliance.
7. Privacy Fundamentals and Content Exclusions:
– Master privacy configurations, including content exclusions and duplication detection.
– Understand how GitHub Copilot safeguards data, including contractual protections, data ownership, and security warnings.
– Learn troubleshooting tips for managing context exclusions and optimizing code suggestions.
This course provides a complete guide to each GitHub Copilot Certification domain, helping you gain confidence and proficiency in AI-driven development. Whether you are a developer, project manager, or tech enthusiast, this course will equip you with the skills needed to ace the certification exam and enhance your development process with GitHub Copilot.
Who this course is for:
- “Whether youre a developer looking to sharpen your skills
- a student aiming for certification
- or a tech enthusiast interested in AI-powered coding
- this course will provide valuable insights and targeted practice to help you succeed.”
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