About Java Developer
Java powers banking systems, large e-commerce platforms, Android apps, and a huge
share of enterprise backends, and this course walks through it in the order most
developers actually learn it. It starts with Java Fundamentals
(syntax, types, and control flow), then Object-Oriented Programming
and Collections & Generics so you can model real problems with
clean, reusable code.
Next comes Modern Java: lambdas, the Stream API, records, and
Optional, the features that make today's Java far more concise than
older code you'll find in the wild. Exceptions, I/O & Concurrency
then covers error handling, files, threads, and the executor framework.
Build Tools, Git & Testing covers Maven, Gradle, JUnit, and
Mockito, while Databases, JDBC & JPA covers SQL, JDBC, and
Hibernate. From there, Spring Boot & REST APIs shows you how to
build and structure real web services.
Finally, Security & Microservices covers Spring Security, JWT,
OAuth2, messaging with Kafka or RabbitMQ, and splitting systems into services, and
JVM, Performance & Deployment covers memory, garbage collection,
profiling, Docker, and monitoring: the skills that separate code that runs from code
that stays fast and reliable in production.
Content
10 modules
01
Java Fundamentals
Setting up the JDK, writing your first programs, and getting comfortable with Java syntax, data types, operators, control flow, arrays, and strings.
JDK SetupData TypesControl Flow
02
Object-Oriented Programming
Modelling problems with classes and objects, and applying encapsulation, inheritance, polymorphism, abstraction, interfaces, and enums.
Classes & ObjectsInterfacesPolymorphism
03
Collections & Generics
Choosing the right data structure from the Collections Framework and writing type-safe, reusable code with generics.
List / Set / MapGenericsComparable
04
Modern Java: Lambdas, Streams & Records
Writing concise, expressive code with lambdas, functional interfaces, the Stream API, Optional, records, and sealed classes.
LambdasStream APIRecords
05
Exceptions, I/O & Concurrency
Handling errors cleanly, reading and writing files, and running work in parallel with threads, executors, and CompletableFuture.
ExceptionsFile I/OExecutorService
06
Build Tools, Git & Testing
Managing dependencies and builds with Maven or Gradle, tracking code with Git, and writing reliable unit and integration tests.
MavenGradleJUnit 5 / Mockito
07
Databases, JDBC & JPA
Modelling data, writing SQL, connecting through JDBC, and mapping objects to tables with JPA and Hibernate.
SQLJDBCHibernate
08
Spring Boot & REST APIs
Building production-style web services with Spring Boot: controllers, dependency injection, validation, and data access with Spring Data.
Spring BootRESTSpring Data JPA
09
Security & Microservices
Securing services with Spring Security, JWT, and OAuth2, then splitting systems into services connected by messaging.
Spring SecurityOAuth2Kafka
10
JVM, Performance & Deployment
Understanding JVM memory and garbage collection, profiling slow code, and shipping with Docker, CI/CD, and production monitoring.
Garbage CollectionDockerMicrometer
What You Can Do After This Course
By the end of the curriculum you'll have worked through 5 hands-on projects and
covered the core of what a junior to mid-level Java developer role expects. Concretely,
you'll be able to:
Write solid Java: build programs with correct syntax, clean control flow, and a good grasp of the type system.
Design with OOP: model problems using classes, interfaces, and polymorphism, and pick the right collection for the job.
Use modern Java: write concise code with lambdas, streams, records, and Optional instead of verbose legacy patterns.
Handle errors and concurrency: manage exceptions and files properly, and run tasks in parallel without race conditions.
Build and test like a professional: manage projects with Maven or Gradle, use Git, and cover your code with JUnit and Mockito tests.
Work with data: design relational schemas, write SQL, and persist objects with JDBC, JPA, and Hibernate.
Ship real services: build secured REST APIs with Spring Boot, split them into microservices, and run them in Docker with monitoring in place.