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Course Outline
Introduction to GitHub Copilot
- Understanding AI-assisted coding concepts
- Key features and advantages of GitHub Copilot
- Initial setup of Copilot for Python projects
Writing Python Code with Copilot
- Generating code snippets and functional blocks
- Improving code clarity and stylistic consistency
- Applying Copilot with core Python libraries
Debugging and Troubleshooting
- Detecting and fixing errors with Copilot assistance
- Integrating Copilot into standard debugging processes
- Adopting best practices for consistent debugging outcomes
Automating Repetitive Tasks
- Developing scripts for frequent operations
- Minimizing boilerplate code generation
- Enhancing productivity through Copilot-based automation
Machine Learning with Copilot
- Applying Copilot to data preparation and visualization
- Building machine learning algorithms
- Constructing pipelines for model training and assessment
Advanced Techniques and Best Practices
- Tailoring Copilot settings for unique workflows
- Synchronizing Copilot with version control and team tools
- Addressing ethical aspects and constraints of AI-assisted development
Summary and Next Steps
Requirements
- Fundamental understanding of Python syntax and logic
- Working experience with an IDE such as Visual Studio Code
Target Audience
- Python software developers
14 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.
