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) like Visual Studio Code
Audience
- Python developers
Testimonials (3)
The session was highly interactive and applicable to the business.
Jorge Boscan - Chevron Global Technology Services Company
Course - Advanced GitHub Copilot & AI for Projects and Infrastructure
Machine Translated
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.
