OUR
Courses
- Java Programmer & Developer
- Java 25 Basics Training
- Java 25 Advanced
- Java 25 & 21 New Features Training
- Java 21 New Features Training
- Java SE 8 New Features Training
- Java 9-17 New Features Training
- Preparation for Java certification
- GraalVM – Introduction and Use
- Performance tuning of Java applications
- Clean Code Training
- Training in Test-Driven Development with Java
- Java & JUnit training for testers
- Training on developing rich clients with JavaFX
- JavaScript
- AI in Development
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- Java Enterprise
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- Web & Application Server
- Android & iOS
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- Software Test
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- Agile software development with Scrum
- NoSQL and Streaming Systems
- Other Topics
- Backend Rest Server Training with Node.js
- Training in the development of machine learning models
- AWS Cloud Functions training with Node.js and TypeScript
- Training in programming with Kotlin
- Python programming training
- Spring AI: Integrating AI into self-developed software
- AI Tools Training for Java Developers
Mastering clean code, a paradigm that prioritizes clean and precisely structured program code, is a central pillar in the world of professional software development. When evaluating program code, various quality parameters play a key role, including features such as readability, testability, and maintainability , adaptability, scalability and longevity, ensuring continued relevance and functionality of the software.
In our exclusive “Clean Code” seminar, participants receive in-depth instruction in principles and techniques that make a decisive contribution to increasing these quality criteria. We raise participants' awareness of common deficiencies in code quality and offer a hands-on experience in which they learn to create clean and structurally superior code by working on concrete case studies.
In addition, we ensure that participants are familiarized with guidelines and best practices that will serve as valuable guides for implementing clean code principles in real projects. This strategic orientation means you are optimally prepared for the requirements of modern day-to-day work in software development.
- Analysis of the cost effects of inferior source code
- Identifying characteristics of suboptimal codes: Identifying „code smells“
- Use of meaningful names: variables, functions, methods, classes, etc.
- Effective structuring of functions and methods
- Best practices for source code commenting
- Aesthetic and functional formatting of source code
- Creation of easily maintainable objects and data structures
- Optimal error handling when using exceptions
- Efficient integration of external libraries
- Guidelines for creating high-quality unit tests
- Organized design and structuring of classes
- Clean Code at the Macro Level: Strategies for Architecture and Design of Applications
- The four basic principles of excellent design
- Implementing clean code principles in parallelized algorithms
Target group
- Developers who
want
to learn or improve
the necessary skills
to develop
clean and easy
maintainable code.