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Duration 14 hours
Course Outline
Introduction to GitHub Copilot
- Understanding the landscape of AI-assisted coding.
- Exploring the key features and advantages of GitHub Copilot.
- Initial setup of Copilot for Python development.
Writing Python Code with Copilot
- Generating code snippets and functional modules.
- Improving code readability and stylistic consistency.
- Applying Copilot with standard Python libraries.
Debugging and Troubleshooting
- Identifying and rectifying errors with Copilot’s assistance.
- Seamlessly integrating Copilot into debugging processes.
- Adopting best practices for reliable debugging.
Automating Repetitive Tasks
- Developing scripts for common recurring tasks.
- Minimizing boilerplate code generation.
- Enhancing productivity through Copilot-driven automation.
Machine Learning with Copilot
- Utilizing Copilot for data preprocessing and visualization.
- Implementing various machine learning algorithms.
- Building pipelines for model training and evaluation.
Advanced Techniques and Best Practices
- Tailoring Copilot configurations to specific workflow needs.
- Combining Copilot with version control and collaborative tools.
- Examining ethical considerations and limitations of AI-assisted coding.
Summary and Next Steps
Requirements
- Fundamental understanding of Python programming.
- Working knowledge of an Integrated Development Environment (IDE), such as Visual Studio Code.
Target Audience
- Python developers.
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.
