Java Full Stack Development
Arrays and Collections Basics
Java Full Stack Development
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Java Programming Basics
This topic builds a strong foundation in core Java programming, covering the essential building blocks every Java developer needs before moving into object-oriented concepts and frameworks.
This topic dives deep into object-oriented programming concepts in Java, which are essential for understanding how Java applications and frameworks like Spring Boot are structured.
This topic bridges the gap between core Java programming and full stack development, giving students the conceptual understanding needed before diving into frameworks and tools.
This topic introduces Spring Boot, the most widely used Java framework for building backend applications, helping students set up their first project and understand its structure.
This topic dives into building fully functional REST APIs using Spring Boot, covering all major HTTP methods and how to handle incoming requests properly.
Working with Databases (Spring Data JPA & Hibernate)
This topic covers how to connect a Spring Boot application to a relational database, teaching students how to model, store, and manage data persistently using JPA and Hibernate.
This topic covers how to secure a Spring Boot application by verifying user identity and controlling access to specific resources, essential for any real-world application.
This topic covers how a Spring Boot backend connects with a frontend application, completing the "full stack" picture by linking both sides of the application together.
This topic brings together everything learned so far into a hands-on project, giving students practical experience building a complete, functional full stack feature.
This final topic covers how to test a Java full stack application and prepare it for deployment, taking it from local development to a live, publicly accessible service.
This lesson introduces arrays for storing fixed-size data and basic Java Collections (like ArrayList), teaching students how to store and manipulate groups of data efficiently.