GitHub Copilot in Action: AI-driven Coding
Integrating AI to Accelerate Your Software Development and Improving Your Development Workflow.
Type
PaidDecember 16 @ 10:00 am – December 20 @ 2:00 pm UTC+5:30
About the event
Join us for an engaging course designed to transform your software development workflow through the power of GitHub Copilot. This comprehensive training will equip you with a deep understanding of how to leverage AI-assisted coding to enhance your coding efficiency and precision. Participants will learn to install, configure, and optimize GitHub Copilot across various programming environments, seamlessly integrating it into daily development tasks.
Throughout the course, you will explore advanced features, including language-specific customization and project-level optimization, while adhering to best practices for maintaining code security and quality. Through hands-on labs and real-world case studies, you will gain practical experience in automating repetitive tasks, debugging, and testing complex codebases. Furthermore, this course will delve into the evolving role of AI in software development, preparing you to harness emerging AI-driven tools and technologies.
Who Should Attend:
- Software Developers and Engineers looking to enhance coding efficiency with AI tools.
- Data Scientists aiming to automate repetitive coding tasks.
- DevOps Engineers interested in AI-powered automation for infrastructure and deployment scripts.
- Technical Leads and Engineering Managers exploring AI-assisted development to boost team productivity.
- AI enthusiasts and developers eager to integrate AI into their coding practices.
Prerequisites:
- Basic knowledge of programming languages (e.g., Python, JavaScript, Java).
- Familiarity with Git and GitHub workflows.
- Experience with modern IDEs such as VSCode, IntelliJ, or Eclipse.
Don’t miss this opportunity to revolutionize your coding experience with cutting-edge AI technology!
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
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
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
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
