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Course Outline
Introduction to GitHub Copilot
- Overview of AI-assisted coding.
- Features and benefits of GitHub Copilot.
- Setting up Copilot for Python development.
Writing Python Code with Copilot
- Generating code snippets and functions.
- Enhancing code readability and style.
- Using Copilot for standard Python libraries.
Debugging and Troubleshooting
- Identifying and resolving errors using Copilot.
- Integrating Copilot into debugging workflows.
- Best practices for reliable debugging.
Automating Repetitive Tasks
- Creating scripts for common tasks.
- Reducing boilerplate code.
- Increasing efficiency with Copilot-driven automation.
Machine Learning with Copilot
- Using Copilot for data preprocessing and visualization.
- Implementing machine learning algorithms.
- Creating pipelines for model training and evaluation.
Advanced Techniques and Best Practices
- Customizing Copilot for specific workflows.
- Combining Copilot with version control and collaboration tools.
- Ethical considerations and limitations of AI-assisted coding.
Summary and Next Steps
Requirements
- Basic knowledge of Python programming.
- Familiarity with an integrated development environment (IDE) such as Visual Studio Code.
Audience
- Python 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.
