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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.
  • Utilizing 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

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  • Format: Online (live), In-company (at your offices), or Hybrid.
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