Implementing AI with C#

This course provides a comprehensive guide to effectively utilising AI when developing with C# using GitHub Copilot. Participants will gain hands-on experience in integrating AI into their development workflows, improving efficiency, and enhancing project documentation. Through practical exercises and collaborative workshops, learners will explore GitHub Copilot’s capabilities, ethical considerations, and best practices for AI-assisted coding.

By the end of this course, learners will be able to:

• Articulate the historical evolution and transformative impact of AI on software development.
• Critically assess the ethical implications of AI-assisted coding.
• Set up and use GitHub Copilot effectively within their development workflow.
• Apply AI concepts to real-world coding tasks while identifying and mitigating common pitfalls.
• Explore advanced GitHub Copilot features and understand the legal considerations surrounding AI-assisted development.
• Use AI tools to create and enhance project documentation for better maintainability and clarity.

Participants should have:

• A foundational understanding of software development concepts, file systems, and the command line.
• No prior programming experience is required, but familiarity with Git and GitHub is beneficial.
• An email address they are willing to use for Git and GitHub account setup during the course.

Target Audience

This course is designed for:

• Software engineers
• Front-end developers
• Full-stack developers

Understanding AI in Software Development

• Evolution of AI in software engineering
• The role of AI in modern development workflows
• Ethical considerations and responsible AI use

Deep Dive into GitHub Copilot

• Overview of GitHub Copilot’s capabilities and integration
• Setting up GitHub Copilot for C# development
• AI-assisted coding: practical demonstrations

Practical Application and Common Pitfalls

• Hands-on coding with GitHub Copilot
• Identifying common AI-assisted development pitfalls
• Best practices for balancing AI assistance with developer oversight

Debugging and Adherence to Standards

• Using AI tools to debug and optimise code
• Ensuring compliance with industry coding standards
• Version control best practices in AI-assisted development

Advanced GitHub Copilot Features and Legal Considerations

• Exploring advanced AI-driven coding techniques
• Understanding licensing and intellectual property concerns
• Compliance with legal and organisational policies

Generating and Improving Documentation with AI

• The importance of documentation in software projects
• Leveraging AI to generate and refine technical documentation
• Ensuring clarity and maintainability in AI-generated documentation

Hands-On Documentation Workshop

• Collaborative exercise in AI-assisted documentation
• Reviewing and improving documentation quality
• Wrap-up discussion on continuous learning and ethical considerations

Exams and Assessments

This course does not include a formal certification exam.

Hands-On Learning

Learners will engage in:

• Interactive labs to apply AI-driven coding techniques
• Guided troubleshooting exercises with instructor support
• A collaborative workshop focused on AI-enhanced documentation