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Courses

In this practical training course, Java developers learn how to efficiently integrate AI tools into their development process to increase productivity and leverage modern programming approaches. The focus is on using AI tools and frameworks specifically tailored to the needs of Java developers, helping them overcome common challenges such as code optimization and automated testing. The course aims to equip participants with a set of tools and techniques to implement their projects faster, more reliably, and with higher quality.

  • Introduction to AI-powered development tools for Java
Overview of available AI tools suitable for Java; Selection criteria for AI-supported tools for specific requirements in the Java area

  • Automated code completion and optimization
Introduction to AI-based code completion tools; Efficient use of such tools

  • Automated testing and quality assurance
Introduction to AI-powered testing tools and their use in Java projects: Automated unit testing, regression testing, and load testing.

  • Code review and refactoring with AI
Tools and techniques for automated code reviews and refactoring processes. Practical exercises with Java code to increase maintainability and efficiency.

  • Efficient project management and documentation through AI
Tools for automating documentation and project management tasks; AI-supported documentation assistants and project planning for development teams

  • Use of local language models
What are local language models and how do they differ from cloud-based solutions? Advantages and use cases for local language models (e.g., data privacy) compared to online alternatives. Integration and use of local language models.

Target group

  • Developers

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