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Course Outline
Introduction to GitHub Copilot
- An overview of artificial intelligence in coding and automation.
- Defining GitHub Copilot and its operational mechanisms.
- The advantages and constraints of using Copilot for programming.
Setting Up GitHub Copilot
- Compatible editors and system requirements.
- Installation and configuration of GitHub Copilot in Visual Studio Code.
- Navigating the interface and exploring available features.
Using GitHub Copilot for Coding
- Drafting code with real-time suggestions.
- Refactoring existing code to improve performance.
- Debugging and troubleshooting with AI assistance.
Exploring GitHub Copilot Capabilities
- Generating templates and boilerplate code.
- Automatically producing documentation and comments.
- Using Copilot to learn new coding techniques.
Best Practices and Ethical Considerations
- Boosting productivity while avoiding over-reliance on AI.
- Addressing privacy and security concerns.
- Integrating Copilot into a balanced coding workflow.
Hands-On Exercises
- Developing a small project with Copilot's assistance.
- Refactoring and optimizing code using AI suggestions.
- Testing Copilot's effectiveness across various programming languages.
Summary and Next Steps
Requirements
- Foundational knowledge of programming principles.
- General familiarity with code editing tools (such as Visual Studio Code).
Target Audience
- Software developers.
- Programming enthusiasts interested in experimenting with AI tools.
7 Hours
Testimonials (2)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny
Michal Maj - XL Catlin Services SE (AXA XL)
Course - GitHub Copilot for Developers
Trainer able to adjust the course level during training to fit our understanding level on the topic, so that we could gain more useful knowledge that could further help us harness the tools in our daily works.