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100% fundable

GH-300 GitHub Copilot

GitHub Copilot turns AI into an active development partner: context-aware, repository-informed, and right inside your existing workflow – for faster and higher-quality work.

Key topics

  • Putting context-aware suggestions and automatic completions to effective use.
  • Achieving better Copilot results through precise comments and repository context.
  • Applying Copilot across different languages and frameworks.
  • Respecting data protection, intellectual property, and ethical responsibility in AI use.
  • Integrating GitHub Copilot smoothly into existing IDEs and development processes.

Prerequisite
Basic programming knowledge and familiarity with an IDE are sufficient to get started – experience with version control is a plus but not required.

Target group
Developers, DevOps professionals, and technical specialists looking to integrate AI-powered tools into their daily work will find a practical entry point here.

GH-300 combines technical understanding with direct practical application – everything covered is immediately usable after the training.

Course content
  • Understanding the principles of responsible AI use.
  • Identifying and reducing risks in AI-generated content.
  • Meeting ethical standards when working with AI-generated code.
  • Establishing trust through transparency and traceability in AI operations.
  • The mechanics of AI-powered code completion.
  • Recognising trigger mechanisms and applying them effectively.
  • Individual, Business, and Enterprise plans side by side.
  • Adjusting personal settings and configuration options.
  • Spotting and fixing typical problems.
  • Formulating precise prompts and improving them iteratively.
  • Understanding how your input influences Copilot’s output.
  • Getting to know Copilot’s processing logic and output behaviour.
  • Using slash commands for efficient code generation.
  • Applying Copilot Chat as an interactive support tool.
  • Deploying Copilot agents for targeted development tasks.
  • Using automatic suggestions and configuring style guidelines.
  • Applying comments as a steering tool for precise Copilot output.
  • Using chat functions for code analysis and troubleshooting.
  • Applying scope references and slash commands to sharpen results.
  • Using Copilot via the CLI for commands and explanations.
  • Configuration options and customisation possibilities for Copilot.
  • Licensing protection mechanisms and code filtering at a glance.
  • Defining and setting up content exclusions correctly.
  • Identifying and eliminating common sources of errors.
  • Integrating Copilot systematically into existing workflows.
  • The impact of AI on individual stages of the development process.
  • Evaluating efficiency improvements from using GitHub Copilot.
  • Generating unit tests with Copilot and Copilot Chat.
  • Testing edge cases and special situations using Copilot.
  • Setting up a test environment with VS Code, .NET SDK, and C# Dev Kit.
  • Validating and executing AI-generated tests.
  • Business and Individual plans in direct comparison.
  • Use cases and efficiency gains in a team context.
  • Configuring and rolling out the Business plan across a team.
  • Characteristics and feature scope of the Enterprise plan.
  • Enterprise vs. Business vs. Individual: understanding the differences.
  • Typical Enterprise use cases and productivity potential.
  • Setting up the Enterprise plan and configuring access permissions.
  • Configuring and starting Copilot in VS Code.
  • Developing suitable prompts for JavaScript code.
  • Putting Copilot to practical use in JavaScript projects.
  • Preparing a Python development environment with Copilot.
  • Crafting targeted prompts for Python development.
  • Using and adapting Copilot in Python projects to suit your own workflow.

Up to 100% funding for your continuing education

Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.

Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.

Frequently asked questions

  • GitHub Copilot uses AI to generate context-aware code suggestions as you write. Trained on billions of lines of public code, it adapts its recommendations to your codebase in real time.
  • This training is designed for anyone who writes code and wants to speed up their work with AI assistance – including software developers, DevOps specialists, and technical IT professionals.
  • The training covers GitHub Copilot fundamentals, prompt engineering, IDE integration, security considerations, and responsible AI use in daily development workflows.
  • GitHub Copilot reduces repetitive work, speeds up coding, and supports you with debugging and maintaining standards – like an AI-powered development partner.
  • Some experience with a programming language and a development environment is a good starting point. Familiarity with GitHub and VS Code makes onboarding smoother, but isn't mandatory.
  • Copilot is valuable across many fields: web development, app development, data analysis, machine learning, DevOps, and automation – anywhere code needs to be written.
  • Upon completing the GH-300 training, you receive a certificate of participation or a digital credential – a useful addition to your professional portfolio.

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