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🚀 Master Spring 7, Spring Boot 4, REST, JPA, Spring Security

Course Banner

Master Spring 7, Spring Boot 4, REST, JPA, Spring Security is a complete backend-focused course designed to help you become a production-ready Java Backend Engineer.
You will learn how to design and build real-world web applications and REST APIs using Spring Framework, Spring Boot, Spring Data JPA, and Spring Security — from fundamentals to deployment.


📚 Course Curriculum Overview

🚀 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

👉 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

👉 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

✅ Pre-requisites

  • Good understanding of Core Java
  • Basic understanding of HTML, CSS, and Web Apps (not mandatory)
  • Willingness to Learn and Break Things
  • A laptop

🔗 Important Links


🐳 Docker Command — Create MySQL Database

docker run -p 3306:3306 \
--name=jobportaldb \
-e MYSQL_ROOT_PASSWORD=root \
-e MYSQL_DATABASE=jobportal \
-v /Users/eazybytes/Desktop/jobportal-data:/var/lib/mysql \
-d mysql

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