[NEW] Master Spring 7, Spring Boot 4, REST, JPA, Security

Become a Java Backend Engineer with Spring Boot, Spring Security, JPA, REST APIs, Docker, AWS & Production-Ready Skills

Master Java Backend Development with Spring & Spring Boot — From Foundations to Production

This is not just another Spring Boot course — it’s a complete backend engineering journey designed to help you think, design, and build applications like a real Java Backend Engineer.

You will start from Spring Core fundamentals and gradually build a production-ready backend featuring REST APIs, database integrations, security, performance optimization, caching, transactions, observability, and cloud deployment.

Every concept is explained with real-world reasoning — not just syntax.

What You Will Learn — Section by Section

Section 1 — Spring Core & Maven: The Fast-Track Foundation

Start with the backbone of Spring development:

• Why Core Java alone is not enough for modern backend apps

• Maven fundamentals and dependency management

• IoC, Dependency Injection, Beans & ApplicationContext

• Creating beans using @Bean and @Configuration

You’ll understand how Spring really works internally.

Section 2 — Spring Beans Deep Dive

Move beyond basics into advanced bean management:

• Autowiring strategies, @Primary, @Qualifier

• Bean scopes (Singleton, Prototype)

• Lifecycle hooks with @PostConstruct & @PreDestroy

• Constructor vs Setter vs Field injection

• Programmatic bean registration

Learn to solve real problems like NoUniqueBeanDefinitionException.

Section 3 — Mastering Spring Boot REST API Development

Build professional REST APIs:

• @RestController, @SpringBootApplication, Auto-Configuration

• Request handling (@PathVariable, @RequestBody, Headers, Params)

• API Versioning strategies

• RequestEntity & ResponseEntity

• HTTP fundamentals & best practices

You’ll build APIs like production systems.

Section 4 — Spring Boot Essentials

Improve project structure and developer experience:

• Clean package architecture

• Spring Boot DevTools

• H2 Database setup & data loading

• Better logging & development workflow

Section 5 — Spring Data JPA

Learn database interaction the modern way:

• ORM fundamentals

• Entities, Repositories & DTO pattern

• Lombok usage

• Derived queries & data mapping

• CORS handling

Stop writing boilerplate SQL.

Section 6 — Databases with Docker

Move from local DB to containerized environments:

• Docker fundamentals for backend developers

• Running MySQL with Docker

• Docker Compose with Spring Boot

• Persistent volumes & configuration

Section 7 — Building Real Backend Features

Hands-on feature development:

• Contact API implementation

• Hibernate schema generation

• End-to-end API testing with UI

Section 8 — Essential Backend Skills

Learn production-ready practices:

• Global exception handling

• Backend validations

• JPA Auditing

• OpenAPI / Swagger documentation

• Web scopes (Request, Session, Application)

Section 9 — Mastering JPA Relationships

Deep dive into entity mappings:

• OneToMany & ManyToOne relationships

• Fetch vs Cascade explained clearly

• Deletion strategies

• Real-world relationship modelling

Section 10 — Spring Security Essentials

Understand how Spring Security behaves internally:

• Default security behavior

• Custom configurations

• CORS setup

• Internal authentication flow explained

Section 11 — Authentication: From Passwords to JWT

Modern backend authentication:

• Hashing vs Encryption vs Encoding

• Password encoders

• JWT token generation & validation

• Custom filters for authentication flow

Section 12 — Database Authentication & CSRF Protection

Build secure real-world login systems:

• Users & Roles design

• Custom AuthenticationProvider

• Derived queries for validation

• CSRF attack theory & implementation

Section 13 — Logging in Spring Boot

Design production-grade logging:

• Logback configuration

• Structured logging strategies

• Debugging and monitoring techniques

Section 14 — Aspect-Oriented Programming (AOP)

Handle cross-cutting concerns:

• Aspect, Advice & Pointcuts

• @Around, @Before, @AfterReturning, @AfterThrowing

• Performance logging and centralized exception handling

Section 15 — Advanced Queries in Spring Data JPA

Improve database performance:

• JPQL & Native Queries

• Named Queries

• Solving N+1 problems

• Batch fetching strategies

Section 16 — Authorization, Sorting & Pagination

Enhance API security & data handling:

• Roles vs Authorities

• Securing APIs

• Sorting & Pagination implementation

Section 17 — Mastering Transactions

Understand real transaction behavior:

• @Transactional internals

• Propagation & Isolation levels

• Rollback rules

• Production pitfalls

Section 18 — Spring Cache & Performance Optimization

Make APIs faster:

• @Cacheable, @CachePut, @CacheEvict

• TTL-based caching

• Caffeine integration

Section 19 — Real Feature Development

Build advanced backend workflows:

• User profile management

• Resume uploads

• Job bookmarking & application APIs

• ManyToMany best practices

Section 20 — Configuration & Profiles

Master environment-based backend setups:

• @ConfigurationProperties

• Externalized configuration

• Profiles for DEV/QA/PROD

• Conditional bean creation

Section 21 — Production-Ready Observability

Monitor backend systems like industry experts:

• Spring Boot Actuator

• Metrics, logs & tracing

• OpenTelemetry & Micrometer

Section 22 — Consuming REST APIs

Learn how backend services communicate:

• RestClient usage

• HTTP Service Client

• Service grouping strategies

Section 23 — Deploying to AWS

Take your backend to the cloud:

• AWS RDS setup

• Elastic Beanstalk deployment

• Production configuration