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Course Outline
Introduction to GitHub Copilot
- An overview of artificial intelligence in coding and automation.
- Defining GitHub Copilot and explaining its operational mechanics.
- The benefits and limitations of using Copilot for programming tasks.
Setting Up GitHub Copilot
- Compatible editors and necessary system requirements.
- Installing and configuring GitHub Copilot within Visual Studio Code.
- Navigating the interface and exploring available features.
Using GitHub Copilot for Coding
- Writing code with the aid of real-time suggestions.
- Refactoring existing code to enhance performance.
- Debugging and troubleshooting with AI assistance.
Exploring GitHub Copilot Capabilities
- Creating templates and boilerplate code structures.
- Automatically generating documentation and comments.
- Leveraging Copilot to learn new coding techniques.
Best Practices and Ethical Considerations
- Maximizing productivity while avoiding over-reliance on AI.
- Understanding privacy and security implications.
- Integrating Copilot into a balanced coding workflow.
Hands-On Exercises
- Developing a small project with Copilot assistance.
- Refactoring and optimizing code using AI suggestions.
- Testing Copilot's performance across various programming languages.
Summary and Next Steps
Requirements
- Fundamental knowledge of programming concepts
- Familiarity with at least one code editor (such as Visual Studio Code)
Target Audience
- Software developers
- Coding enthusiasts interested in exploring AI tools for software development
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.
