Enhancing Software Development with GitHub Co-Pilot

Duration: 1 Days • Classroom: Physical • HRDC: Claimable

5.0 (0 Ratings)
What you'll learn
  • Participants will gain an understanding of the basics of Flutter, including how to create layouts, handle user input, manage state, and connect to APIs.
  • Ability to create custom mobile apps.
  • Participants will have Hands-on experience to apply their newly acquired knowledge and skills in a real-world context.
Course description

This hands-on workshop empowers software developers to enhance productivity and code quality using GitHub Co-Pilot. Participants will explore AI-assisted code generation, debugging, testing, and documentation techniques across multiple programming languages. Through interactive exercises and real-world development scenarios, attendees will learn to integrate Co-Pilot into their existing workflows, automate repetitive coding tasks, and maintain coding standards efficiently. The training emphasizes immediate application, enabling participants to implement AI-assisted development practices in their daily projects. By the end of the session, participants will be equipped with practical skills to leverage GitHub Co-Pilot for faster, more accurate software development, reducing manual effort and accelerating project delivery.

Course content
  • Overview of AI-assisted coding
  • Capabilities, limitations, and responsible use
  • Setting up Co-Pilot and workspace navigation
  • Hands-On Activity: Explore Co-Pilot interface and generate sample code snippets
  • Writing code efficiently in multiple languages
  • Context-aware suggestions and autocomplete features
  • Generating functions, classes, and boilerplate code
  • Hands-On Activity: Build a small module or function using Co-Pilot suggestions
  • Using AI to identify and correct code errors
  • Improving code logic and consistency
  • Real-time debugging assistance
  • Hands-On Activity: Debug a pre-written code snippet with AI support
  • Auto-generating comments and documentation
  • Maintaining code readability and maintainability
  • Best practices for AI-assisted documentation
  • Hands-On Activity: Document a codebase using Co-Pilot suggestions
  • Leveraging Co-Pilot across multiple programming languages
  • Translating logic and structures between languages
  • Handling polyglot projects
  • Hands-On Activity: Convert a Python module to JavaScript or another language with AI assistance
  • Using Co-Pilot in GitHub repositories
  • Streamlining pull requests and version control
  • Automating repetitive development tasks
  • Hands-On Activity: Implement a workflow with GitHub repository integration
  • Using Co-Pilot for peer review assistance
  • Detecting code quality issues and optimization opportunities
  • Reviewing team contributions efficiently
  • Hands-On Activity: Conduct an AI-assisted code review for a sample project
  • Identify a real-world coding challenge
  • Build a solution using GitHub Co-Pilot
  • Demonstrate and optimize workflow for review
  • Review and discussion of tools and concepts covered.
  • Q&A session to address any questions.
This course includes:

English

1 Days

Physical Class

Certificate of Completion

HRDC Claimable

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