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Spring Boot  


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Length: 5 day (40 hours)

 

This course transitions developers from core Java to professional Backend Engineering. It covers the "Convention over Configuration" philosophy, showing how Spring Boot removes the "boilerplate" pain of classic Spring. You will move through the entire lifecycle of an application—from bootstrapping with Spring Initializr to deploying containerized microservices on the cloud.

Spring Boot is an abstraction layer, so you must understand the underlying "magic" to debug effectively:

  • Java Proficiency: Solid grasp of Java 17+ features (Lambda expressions, Streams, Optional, and Records).
  • OOP Fundamentals: Deep understanding of Interfaces, Abstraction, and Dependency Injection principles.
  • Build Tools: Basic familiarity with Maven or Gradle (managing pom.xml or build.gradle).
  • Web Basics: Understanding of HTTP methods (GET, POST, etc.), Status Codes, and JSON format.
  • Database Basics: Basic SQL knowledge for interacting with relational databases (PostgreSQL/MySQL).

Java Developers: Who want to build modern, scalable web APIs and microservices.

Manual/Automation Testers: Looking to move into Backend Development.

System Architects: Designing distributed systems and cloud-native architectures.

CS Students/Graduates: Aiming to gain the most in-demand enterprise Java skill for 2026.

Course objectivesCourse outlines

Course objectives

After completing this course, students will be able to:

      • Bootstrap Applications: Use Starters and Auto-configuration to set up projects in seconds.
      • Build RESTful APIs: Design clean, documented (OpenAPI/Swagger) services using Spring MVC.
      • Manage Data Persistence: Use Spring Data JPA and Hibernate to talk to databases without writing complex SQL.
      • Secure Applications: Implement JWT-based authentication and OAuth2 using Spring Security.
      • Master Microservices: Orchestrate distributed systems using Spring Cloud (API Gateways, Service Discovery).
      • Ensure Production Readiness: Use Spring Boot Actuator for health checks and Micrometer for observability.

Course outlines

    • Phase 1: Core Spring & Bootstrapping
      • Spring IoC & DI: Inversion of Control and Dependency Injection.
      • Bean Lifecycle: Understanding @Component, @Service, @Repository, and Scopes.
      • Auto-configuration: How @SpringBootApplication works under the hood.
    • Phase 2: Web & Data Access
      • Spring MVC: Controllers, Request Mapping, and DTO (Data Transfer Object) patterns.
      • Spring Data JPA: Entities, Repositories, and Derived Query Methods.
      • Database Migrations: Using Flyway or Liquibase for version-controlled DB changes.
    • Phase 3: Security & Testing
      • Spring Security: Filter chains, UserDetailsService, and Role-Based Access Control (RBAC).
      • Testing Suite: Unit testing with JUnit 5, Mocking with Mockito, and Integration tests with @SpringBootTest.
    • Phase 4: Modern Enterprise Features
      • Observability: Integrated metrics with Prometheus and Grafana.
      • Spring AI: Integrating Large Language Models (LLMs) into Spring applications.
      • Cloud Native: Dockerization and building GraalVM Native Images for 10x faster startup.