Mastering GitHub Copilot
Leveraging AI to Enhance Your Development Workflow.
Type
Paid
$165.00
September 23 @ 10:00 am – September 27 @ 2:00 pm UTC+5:30
About the event
Join us for an insightful session on GitHub Copilot: Harnessing AI for Enhanced Code Completion. This course offers a thorough exploration of GitHub Copilot, from installation to advanced usage. Participants will gain hands-on experience in integrating Copilot into their development workflows, unlocking its potential to boost productivity and streamline coding practices. The session also delves into the AI principles driving Copilot, providing a deeper understanding of how this innovative tool enhances the coding experience.
Key Takeaways:
- Master the installation and configuration of GitHub Copilot.
- Seamlessly integrate Copilot into your development environment.
- Learn to leverage AI-powered code suggestions to increase productivity.
- Understand the AI principles behind GitHub Copilot.
- Explore advanced usage scenarios and best practices.
Who Should Attend:
- Software Developers and Engineers
- Data Scientists
- DevOps Engineers
- Technical Leads and Managers
- Anyone interested in AI-assisted programming
Prerequisites:
- Basic knowledge of programming languages (e.g., Python, JavaScript, Java)
- Familiarity with Git and GitHub workflows
- Basic understanding of Integrated Development Environments (IDEs) such as Visual Studio Code
Don’t miss out on this opportunity to revolutionize your coding workflow with GitHub Copilot!
Introduction to GitHub Copilot
Module 1: Overview of GitHub Copilot
- What is GitHub Copilot?
- Features and Capabilities
- Setting up GitHub Copilot in Visual Studio Code
Module 2: Getting Started
- Installing and configuring GitHub Copilot
- First steps with Copilot
- Basic usage and understanding of AI-suggested code
Deep Dive into Copilot Functionality
Module 3: Coding with Copilot
- Writing functions and classes with Copilot
- Copilot for code documentation and comments
- Handling repetitive tasks and boilerplate code
Module 4: Advanced Usage
- Copilot in different programming languages
- Integrating Copilot with existing projects
- Customizing Copilot settings for personalized suggestions
- Hands-On Labs and Real-World Scenarios
Module 5: Hands-On Labs
- Lab 1: Building a simple application with Copilot
- Lab 2: Refactoring code using Copilot suggestions
- Lab 3: Debugging and testing with Copilot
Module 6: Real-World Applications
- Copilot in data science projects
- Using Copilot for web development
- Copilot in DevOps and automation scripts
Best Practices and Case Studies
Module 7: Best Practices
- Effective prompts for better suggestions
- Avoiding common pitfalls
- Security considerations and Copilot limitations
Module 8: Case Studies
- Case study 1: Enhancing productivity in a large codebase
- Case study 2: Using Copilot in a team setting
- Case study 3: Open-source contributions with Copilot
Customization and Future of AI in Development
Module 9: Customization and Extensions
- Extending Copilot with plugins and integrations
- Setting up Copilot for specific workflows
- Feedback and customization for improved accuracy
Module 10: The Future of AI in Development
- Emerging trends and technologies
- The evolving role of AI in software development
- Preparing for future advancements
- Next steps for further learning
