GIthub Copilot: Enhancing Daily Workflow
Boosting Developer Productivity with Smart AI Coding Assistance
Duration
2 Days (8 hours per day)
Level
Intermediate Level
Design and Tailor this course
As per your team needs
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The “GitHub Copilot: Enhancing Daily Workflow” course is designed to support high-performing software engineering teams. This course will support the teams to integrate various features of GitHub Copilot into all stages of software development and enhance their daily workflow.
The course will assist every role in the software development team through practical use cases and hands-on exercises, enabling participants to utilize GitHub Copilot effectively. After completing this course the participants will be able to leverage Github Copilot for building applications, analyzing code, performing code reviews, and contributing to projects with optimal context.
After this course, you will be able to:
- Quickly initiate new repositories, generate boilerplate code, and navigate unfamiliar codebases using GitHub Copilot’s chat and suggestion features.
- Leverage Copilot’s contextual insights to shift-left with TDD and develop or expand application functionality.
- Streamline CI/CD processes by embedding Copilot Enterprise into automated workflows for improved code quality and faster delivery.
- Use Copilot Chat to identify and reliably refactor outdated systems, improve software maintainability, handle errors, and configure systems quickly.
- Use Copilot Enterprise features to enforce secure coding practices and ensure code consistency.
- Promote AI-assisted coding for improving collaboration, inner-sourcing, and implement advanced debugging techniques.
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- Software Engineers
- QA Engineers
- DevOps Engineers
- Software/Solution Architects
- Scrum Masters
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- The Need for AI Insights for Maximizing Developer Productivity
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- Advanced Collaborative Coding & Pair Programming with Copilot
- Integrating Copilot for End‑to‑End Project Bootstrapping
- Hands-on Lab: A Sample E‑Commerce Inventory & Tax Project
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- Standardizing Code Style & Best Practices with Copilot
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- How Copilot can enforce consistent coding styles across a team
- Using Copilot to provide real-time suggestions for best practices
- Hands-on Lab: Setting up a Copilot-powered style guide and linter rules
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- Using Copilot Chat for Rapid Prototyping & Iterative Feature Development
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- Generating standardized templates for documentation, comments, and boilerplate code
- Automated Documentation and Code Comments
- Case Study: “Otto Group – Elevating Developer Engagement”
- Case Study: “Accenture – Double Down on GitHub’s Platform”
- Seamless CI/CD Integration with Copilot
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- Automating Build Processes & Deployment Pipelines with AI Insights
- Developing Innersourcing Culture for Collaborative Development
- Hands‑On Lab: Task Management with GitHub Copilot in VS Code
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- Advanced Copilot Chat Commands in VS Code
- Case Study: “Telus – Improving Fragmented DevOps Tools”
- Case Study: “EY – Leveraging GitHub Copilot & Azure DevOps”
- Leveraging Copilot for Deep Code Understanding & Contextual Analysis
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- Predictive Code Refactoring Techniques with Real-time Suggestions
- Intelligent Code Suggestions for Enterprise‑Scale Projects
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- Enhancing Maintainability & Readability with AI
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- Using Copilot for self-documenting code & meaningful variable naming
- AI-assisted refactoring to break down large functions into modular, reusable components
- Best practices for reducing technical debt with Copilot
- Hands-on Lab: Transforming a legacy function into clean, maintainable code
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- Automated Quality Optimization & Error Prediction
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- Prompt‑First Approach: Transforming Messy Code
- Hands-on Lab: Refactoring a Script with GitHub Copilot
- Integrating Advanced Debugging & Logging
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- Case Study: “Itaú – Deliver Software Faster with GitHub Copilot”
- Collaborative AI Coding & Team-Based Copilot Workflows
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- Leveraging Copilot across teams for collaborative development
- AI-assisted code reviews and pull request enhancements
- Using Copilot to detect and suggest fixes for deprecated code
- Case Study: “Dialpad’s AI-Powered Cross-Functional Collaboration”
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- Managing Complexity in Multi‑Layered Codebases
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- Rapid Feature Development & Iterative Prototyping
- Modernizing Legacy Systems with Copilot Chat
- Hands-on Lab: Modernization of a Legacy ETL Pipeline
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- Embedding Environment‑Specific Configurations
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- Transforming Complexity to Consistency
- Case Study: “Travelport – Transforming Complexity to Consistency”
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- Accelerating Deployment Through Innersourcing
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- Case Study: “Phillips – Build & Deploy Applications Faster with Innersourcing on GitHub”
- Rapid Production Readiness Techniques
- Case Study: “CloudZero – Five Minutes Away from Production”
- Understanding AI Limitations & Ethical Considerations
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- Advanced Secure Coding Practices with AI
- Proactive Vulnerability Detection & Resilience Building
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- AI Governance & Managing Copilot Suggestions in Teams
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- Ensuring Copilot does not introduce security vulnerabilities
- Managing biases & incorrect suggestions in a team workflow
- Best practices for reviewing AI-generated code before deployment
- Hands-on Lab: Auditing Copilot-generated code for security & quality risks
- Embedding Automated Security Scanning in CI/CD
- Hands-on Lab: Enhanced Collaborative Debugging & Troubleshooting
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- Case Study: “Indra – GitHub Copilot Helps to Focus on Making the World Safer”
- Case Study: “Carlsberg – Unifies Development & Accelerate Innovation”
- Unifying Development Processes to Accelerate Learning & Adaptation
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- Basic to Intermediate Coding Skills with Python/Java/.Net, JavaScript/TypeScript, SQL
- Practical knowledge of GitHub for Version Control
- Prior Experience with Copilot
- A GitHub Enterprise Account with Access to GitHub Copilot
