Spring Boot: Mastering the Fundamentals

Spring Boot is the primary framework for modern Java development. Whether you are creating web applications, microservices, or enterprise systems, Spring Boot simplifies development by automating configuration, managing dependencies, and providing embedded servers, allowing for quick creation and deployment of applications.

Mastering Spring Boot is not only an opportunity to write higher quality code but also a significant career step. According to Glassdoor, Spring Boot specialists are in demand in the market, with salaries ranging from $164K to $306K per year, with a median of $219K.

This course is the first part of a series aimed at guiding you from basics to full mastery in Spring Boot. In this part of the course, we focus on fundamental concepts to ensure a solid understanding of basic principles before moving on to building web applications and APIs in the next module.

This is not just another Spring Boot course - it's a clear, concise, and practical program where each lesson is designed to expand your knowledge through real-world examples, best practices, and useful tips rarely found in other training programs.

If you are looking for a structured, practical course with minimal theory that will equip you with the skills to create real applications, then this course is for you!

What you will learn:

• Understand how Spring Boot manages objects and dependencies.
• Connect applications to relational databases.
• Configure applications using application.properties and YAML files.
• Use Spring Data repositories for database operations.
• Distinguish between "database-first" and "model-first" approaches and understand when to apply each.
• Track entities through Hibernate and ensure data integrity with transactions.
• Optimize data fetching strategies with eager and lazy loading.
• Create custom queries using @Query, JPQL, and native SQL.
• Apply projections to extract only necessary data and reduce load.
• Build dynamic queries using Query by Example, Criteria API, and Specifications API.
• Implement sorting and pagination for efficient handling of large data volumes.
• Apply Lombok to reduce boilerplate code and simplify entity classes.
• Use tools for quickly generating entities, repositories, and queries.
• Apply best practices for application structuring and performance optimization.