Developing Professional Applications with Java
Exceptions, Strings, and Functional Programming with Collections
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Machine Learning Engineer
Day 1: Building Robust Applications
You'll delve deeper into exception handling with checked and unchecked exceptions, custom exception classes, and `try-with-resources`. You'll learn about nested classes and the Builder pattern, and you'll work with annotations, assertions, Lombok, Git basics, and Maven.
Day 2: Mastering the Java Standard Library
Gain in-depth experience working with strings (StringBuilder, regex), master BigDecimal for precise calculations, and the Java Date/Time API for professional date and time processing. You’ll also learn about wrapper classes, currency formatting, and reflection.
Day 3: Functional Programming and Collections
You'll master lambda expressions and functional interfaces (Predicate, Function, Consumer, Supplier), work with Optional, and learn the Collections Framework in its entirety: ArrayList, HashSet, HashMap, and their algorithms.
In addition, you'll use AI tools as an API assistant—to explore unfamiliar libraries, generate regular expressions, and optimize lambda expressions.
Requirements:
Prerequisites include a basic knowledge of Java equivalent to the "Java Foundation" course or comparable knowledge: variables, data types, control structures (if/else, loops), methods, simple classes, and objects.
All participants need access to an AI text bot (e.g., ChatGPT, Claude, Copilot, or Perplexity).
Additional info:
Please create a free AI account (e.g., ChatGPT, Claude, Copilot, or Perplexity) before the course begins.
- Implementing Robust Exception Handling Using Custom Exceptions and `try-with-resources`
- Using the Builder Pattern for Complex Objects
- Efficient String Manipulation and the Use of Regular Expressions
- Using BigDecimal for Precise Financial Calculations
- Using the Java Date/Time API for Date and Time Processing and Formatting
- Use functional interfaces and lambda expressions to write elegant code
- Using the Collections Framework (List, Set, Map) for Efficient Data Structures
- Targeted Use of AI Tools for Debugging, Code Review, and Productive Programming
The course combines theory and practice:
- Short theoretical presentations, live coding, and demos by the trainers
- Numerous hands-on exercises with increasing levels of difficulty
- AI-powered exercises: API exploration, regex generation, lambda optimization
- Chapter exercises as practical mini-projects (Configuration Manager, Payroll, Library 2.0)
- Interactive training with time for questions and discussion
Javadevelopers s with knowledge of OOP who want to acquire professional application skills:
- developers, who want to build robust, production-ready Java applications
- IT professionals who want to master the Java Standard Library and functional programming
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