(NETCOP)

Programming, .NET

THIS TRAINING COURSE WILL HELP YOU:

  • Understand Copilot's role across the development process
  • Design AI-first architectures for new projects
  • Delegate development tasks effectively to agents
  • Configure Copilot agents for your team and project
  • Increase delivery speed and improve code quality

WHO SHOULD ATTEND?

  • Senior .NET developers seeking higher productivity
  • Software architects designing AI-first systems
  • Tech Leads aiming to accelerate development
  • Teams transitioning to AI-assisted development

COURSE LOCATION AND AVAILABLE DATES



Choose whether to attend in person in our classroom or join online. You can select your preferred format during registration. Learn more about hybrid training.

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Course content:

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  • Introduction to GitHub Copilot
    1. What GitHub Copilot is and where to use it
    2. Feature overview: chat, completions, code review, agents
  • GitHub Copilot CLI
    1. Installing and configuring the GitHub Copilot CLI
    2. Commands for generating code, explanations and refactoring from the terminal
    3. Integrating the CLI into scripts and CI/CD pipelines
    4. Differences versus IDE integration and when to prefer the CLI
  • IDE integration
    1. Installing and configuring extensions in VS Code and Visual Studio
    2. Inline completions, chat panel and code review in the editor
    3. Context window – how Copilot "sees" your code and project
    4. Token-based billing: what a token is, how the context window is measured and cost implications
    5. The new Agents app
  • Customizing Copilot
    1. Instructions – global and project-level behavior control
    2. Prompts – building reusable templates for common tasks
    3. Custom agents – configuring agents for specific team roles
    4. Skills – extending agent capabilities with custom skills
    5. Hooks – automated actions on development events
    6. MCP servers – connecting agents to external tools and data sources
    7. Plugins – integrating third-party tools into the workflow
    8. Copilot as an LLM provider – using subscriptions in external AI tools (e.g., Open Code)
  • Architectures suitable for AI-first development
    1. Design principles for efficient collaboration with AI
    2. Modularity, clean architecture and separation of concerns
    3. Patterns suitable for delegating work to agents
  • Delegating development tasks
    1. How to formulate tasks properly for an agent
    2. Processing outputs and validating results
    3. Branching, workspaces, pull requests and agent-driven code review
  • Testing and code quality
    1. Generating unit and integration tests
    2. Static analysis and refactoring with agent assistance
    3. Continuous integration and automated checks
    4. Non-LLM tools to improve quality and delivery speed
  • Practical workshop
    1. Building a clean .NET application while delegating tasks to Copilot agents
    2. Working with a sample repository
    3. Real-world scenario demonstrations
  • Working with GitHub Issues and Projects
    1. Delegating whole issues to an agent (Copilot coding agent)
    2. Tracking progress, reviewing and approving outputs
  • Prompt engineering for developers
    1. Principles of effective instruction design
    2. Iterating over results and tuning prompts
    3. Differences between one-off queries and guided agents
  • Security and governance
    1. Protecting sensitive data and secrets in the Copilot context
    2. Company policies, enabling and disabling features via GitHub Enterprise
    3. Audit logs and usage monitoring
Schedule:
2 days (9:00-17:00)
Price per person:
556.00 € ( 672.76 € incl. 21% VAT)

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