GitHub Copilot – Software Development & Agent Workflows (AIPRG)

Programming, Java, Spring

This intensive two-day course teaches how to use AI-assisted coding in real development tasks. It's not for non-programmers or a demo-only session; the course uses GitHub Copilot, ChatGPT for generation, refactoring and architecture.

The second day covers advanced topics: building an MCP server with FastMCP in Python, integrating agents with GitHub Issues, setting permissions and creating skills validated by unit tests. Hands-on pair work focuses on safety and workflows.

THIS TRAINING COURSE WILL HELP YOU:

  • Integrate AI tools like GitHub Copilot into development
  • Design cleaner, more maintainable software architecture
  • Write maintainable code and automate testing
  • Detect and fix issues in existing codebases
  • Use AI with REST APIs, SQL and multi-agent workflows

WHO SHOULD ATTEND?

  • Junior developers eager to learn AI-assisted coding
  • Senior developers wanting practical AI workflows
  • Team leads planning AI adoption in development teams

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.

Public courses are usually delivered in Czech, but this course is also available in English. We can arrange private training for your team online, at your premises or in our classrooms, and tailor the content to your needs.

For groups of around 4 or more participants, private training can already be comparable in price to booking individual places on a public course. Send us your requirements and we’ll recommend the best format and provide an exact quote.

Request training in English

Course content:

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  • Introduction to AI in software development
    1. Getting to know GitHub Copilot and ChatGPT
    2. Overview of AI technologies applied to software development
    3. Integrating AI tools into the development environment
  • Workshop and practical exercises
    1. Analysis and identification of weak spots in an existing project
    2. Extending the project with new features using AI
    3. Pair exercises alternating work without and with AI tools
  • Practical applications of AI tools
    1. Code generation
    2. API documentation and database query optimization via AI
    3. Covering existing code with automated tests
  • Advanced development techniques
    1. Refactoring and applying SOLID principles
    2. Working with REST APIs and SQL, including documentation generation
    3. Using AI to address architectural challenges
  • Best practices and outlook
    1. Testability and building sustainable code
    2. Integrating best practices into everyday workflows
    3. Latest developments in developer AI tools and future directions
  • MCP: integration with external systems
    1. Building a custom MCP server with the FastMCP framework in Python
    2. Understanding MCP capabilities and limitations for agent systems
    3. Integration with existing tools, e.g., GitHub Issues and task trackers
  • Security and permissions
    1. Discussion of security aspects
    2. Defining permission scopes for AI agents
    3. Activity categorization and traceability
  • Skill creation and validation
    1. Identifying problems in AI task handling
    2. Creating skills with size, structure, templates and one-off scripts
    3. Verifying behavior with unit tests and preventing regressions
  • Agent approaches and flows
    1. Building custom agents within a defined workflow
    2. Defining roles, steps, transitions and responsibilities in agent flows
    3. Group work designing an agent flow and final solution discussion
Prerequisites:
Basic programming experience, familiarity with Git and Python.
Schedule:
2 days (9:00-17:00)
Price per person:
556.00 € ( 672.76 € incl. 21% VAT)

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