Java

For IT leaders: When new developers join, or when IT practitioners move from scripting into application work, uneven Java fundamentals slow code reviews and lead to fragile code. This course gives your team one shared baseline, from basic syntax to the core building blocks of everyday Java work.

Role fit: This course is built for entry-level developers and IT practitioners who need to read, maintain, or extend Java code. It also serves experienced developers as a structured reference. Team Leads can use it as standard onboarding so every new hire covers the same concepts, including classes, methods, instance variables, packages, basic data types, arrays, exception handling, and threads.

Time investment: The course runs about 12 hours across 14 skills, with each skill lasting roughly 45–65 minutes. Most learners can finish it in two to three weeks at a few sessions per week without disrupting project work.

Change-management notes: Demos use the Eclipse IDE, with guidance for people on other IDEs. The course also shows how to compile and run Java from the command line, which is useful for build scripts. The instructor states the trade-offs plainly, including how concurrency can add complexity, so teams pick up sound habits rather than shortcuts.

Next step: Learners who finish this course can move on to the intermediate Oracle Certified Professional: Java SE 11 Developer course to continue building Java SE 11 skills aligned with certification readiness.

IT teams complete this Java training to build a shared, practical foundation for writing and maintaining the Java code their organization depends on. Instead of picking up habits piecemeal, new developers learn the same structure, tooling, and error-handling patterns, so a Team Lead can onboard them faster and review their code with fewer surprises.

The course is built around realistic programming concepts and examples. Learners model to-do list items as classes and extend them with subtasks through inheritance. They handle the failures every program eventually hits, such as invalid user input, missing files, and dropped connections. They also practice making simple network requests to an API and parsing JSON results.

• Fewer production surprises: Developers learn to anticipate failures with checked and unchecked exceptions, so programs recover from conditions like a missing file instead of crashing.
• Consistent, maintainable code: Common class, inheritance, and interface patterns make code easier for the whole team to read, extend, and support.
• Better data-handling decisions: Practitioners learn when to use lists, queues, sets, and maps, which helps them choose structures that fit the workload.
• Safer performance work: Developers learn concurrency basics along with the instructor's warning that threads add complexity, so they use multithreading deliberately rather than by default.

The course also covers compiling and running Java without an IDE. Teams gain a starting point for writing command-line build scripts when automation is needed.

Developers who complete this course leave with a shared Java foundation your team can build on, from first program to networked application.

Knowledge

• How Java programs are structured, and how to compile and run code both in the Eclipse IDE and from the command line
• Core data types, arrays, variables, and control flow, including if/else, for-loops, and while-loops
• Object-oriented fundamentals: classes as blueprints, instances, instance variables and methods, inheritance, method overriding, and interfaces
• Java’s built-in data structures and how to choose the right structure for a given problem
• The Java exception hierarchy, including errors vs. exceptions and checked vs. unchecked exceptions
• The performance benefits of concurrent programming and the complexity it adds

Ability

• Set up a Java project, read user input from the console, and write loop-driven logic
• Model real data with classes and subclasses, such as a to-do item extended into a multi-task item with subtasks
• Choose and apply the right Java data structure for a given data problem
• Plan for failures by catching specific exceptions, such as a missing file
• Create and run threads for tasks like file reads, network requests, and data processing
• Read and write files, send HTTP requests to an API, and parse the responses