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.
Course Outline
Introduction to GitHub Copilot
- Overview of AI-assisted pair programming
- Capabilities and limitations of GitHub Copilot
- The Copilot ecosystem: IDEs, CLI, Pull Requests (PRs), and Chat
Getting Started
- Installing and configuring GitHub Copilot in VS Code, JetBrains IDEs, and Neovim
- Authenticating with GitHub and managing subscriptions
- Exploring Copilot settings and preferences
Using GitHub Copilot Effectively
- Generating code completions, functions, and boilerplate code
- Working with multi-line and contextual suggestions
- Customizing and refining Copilot's output
- Writing comments and documentation with Copilot
Copilot Chat and Collaboration Features
- Using Copilot Chat for API exploration and code refactoring
- Debugging and troubleshooting with Copilot Chat
- Copilot in Pull Requests: receiving suggestions and conducting code reviews
Advanced Workflows with Copilot
- Integrating Copilot into CLI workflows
- Using Copilot with test-driven development methodologies
- Pairing Copilot with specific frameworks and libraries
Responsible and Secure Usage
- Understanding licensing, privacy, and intellectual property considerations
- Mitigating risks associated with insecure or biased code
- Best practices for enterprise and team adoption
Best Practices and Case Studies
- Maximizing productivity with Copilot in day-to-day development tasks
- Real-world examples of Copilot usage across various programming languages
- Lessons learned and success stories from teams utilizing Copilot
Summary and Next Steps
Requirements
- Fundamental programming knowledge in at least one language (e.g., Python, JavaScript, Java, C#)
- Familiarity with using an IDE or code editor (such as VS Code or JetBrains products)
- Basic understanding of Git and GitHub workflows is advantageous
Audience
- Developers
- Programmers
- Software engineers
14 Hours
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