Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Introduction to GitHub Copilot
- Insights into AI-assisted pair programming
- Key features and constraints of GitHub Copilot
- The Copilot ecosystem: covering IDEs, CLI, PRs, and Chat
Getting Started
- Installation and setup of GitHub Copilot in VS Code, JetBrains, and Neovim
- GitHub authentication and subscription management
- Navigating Copilot settings and user preferences
Effective Use of GitHub Copilot
- Creating code completions, functions, and boilerplate code
- Managing multi-line and context-specific suggestions
- Adjusting and improving Copilot outputs
- Drafting comments and documentation using Copilot
Copilot Chat and Collaboration Tools
- Applying Copilot Chat for API discovery and code refactoring
- Debugging and error resolution with Copilot Chat
- Copilot in Pull Requests: generating suggestions and conducting code reviews
Advanced Workflows with Copilot
- Incorporating Copilot into CLI-based workflows
- Leveraging Copilot in test-driven development
- Combining Copilot with various frameworks and libraries
Responsible and Secure Practices
- Addressing licensing, privacy, and intellectual property concerns
- Addressing potential risks of insecure or biased code generation
- Best practices for enterprise and team-wide adoption
Best Practices and Case Studies
- Enhancing daily development productivity with Copilot
- Practical examples of Copilot usage across different programming languages
- Insights and success stories from teams utilizing Copilot
Conclusion and Future Directions
Requirements
- Foundational programming skills in at least one language (e.g., Python, JavaScript, Java, C#)
- Experience with using an IDE or code editor (such as VS Code or JetBrains)
- Basic understanding of Git and GitHub workflows is advantageous
Target Audience
- Developers
- Programmers
- Software engineers
Testimonials (1)
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