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Course Outline
Introduction to GitHub Copilot
- Overview of AI applications in coding and automation.
- Understanding GitHub Copilot and its operational mechanics.
- Advantages and constraints associated with using Copilot for programming.
Setting Up GitHub Copilot
- Compatible editors and system prerequisites.
- Installation and configuration of GitHub Copilot within Visual Studio Code.
- Navigating the interface and exploring available features.
Leveraging GitHub Copilot for Coding
- Coding with real-time suggestion support.
- Refactoring existing code to improve performance.
- Debugging and troubleshooting with AI assistance.
Exploring GitHub Copilot Capabilities
- Generating templates and boilerplate code.
- Automatically creating documentation and code comments.
- Utilizing Copilot to learn new coding techniques.
Best Practices and Ethical Considerations
- Enhancing productivity while avoiding over-dependence on AI.
- Recognizing privacy and security implications.
- Integrating Copilot into a balanced and effective coding workflow.
Hands-On Exercises
- Developing a small project with the help of Copilot.
- Refactoring and optimizing code using AI-driven suggestions.
- Evaluating Copilot's performance across various programming languages.
Summary and Next Steps
Requirements
- Foundational knowledge of programming principles
- Experience with any code editor (such as Visual Studio Code)
Target Audience
- Software Developers
- Programming enthusiasts interested in exploring AI-powered 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.