SkilDock
Great for freshersIdeal for career switchers

Java Backend Engineering

Go from Java basics to enterprise backend engineer in 14 weeks.

Duration
14 weeks
Duration
Sessions
21
Sessions
Labs
14
Labs
Projects
3
Projects

What You'll Be Able To Do

After completing this course, you will confidently:

  • Build production REST APIs with Spring Boot using layered architecture, validation, and global error handling
  • Design and query relational databases with JPA/Hibernate including relationships, caching, and query optimization
  • Implement secure authentication and authorization with Spring Security, JWT tokens, and OAuth2
  • Build event-driven microservices with Apache Kafka for asynchronous communication and data pipelines
  • Design caching strategies with Spring Cache and Redis to optimize API response times
  • Write comprehensive test suites with JUnit 5, Mockito, and Testcontainers for integration testing
  • Implement reliability patterns including circuit breakers, retries, and rate limiting
  • Containerize and deploy Spring Boot applications with Docker and Docker Compose

What You'll Build

Real portfolio projects that showcase your skills to employers.

1

Multi-Tenant REST API

Build a multi-tenant API with Spring Boot featuring tenant isolation at the database level, JWT authentication, RBAC, pagination, filtering, and comprehensive Swagger documentation.

Spring BootSpring SecurityPostgreSQLRedisDocker

Interview value:

Multi-tenancy is a complex architecture topic that demonstrates understanding of data isolation, security, and enterprise patterns.

2

Event-Driven Order Processing Pipeline

Design an order processing system with Kafka event streaming, saga pattern for distributed transactions, dead-letter queues for failure handling, and real-time status tracking.

Spring BootApache KafkaPostgreSQLRedis

Interview value:

Event-driven architecture with Kafka is the top-asked topic in senior Java backend interviews at companies like Flipkart, Swiggy, and Walmart.

3

Distributed Notification Service (Capstone)

Build a notification microservice supporting email, SMS, and push channels with priority queues, template management, delivery tracking, retry logic, and monitoring dashboards.

Spring BootKafkaRedisPostgreSQLDocker Compose

Interview value:

Notification systems test your understanding of queues, retries, idempotency, and distributed system reliability.

Course Curriculum

14 weeks of structured, hands-on learning.

1Java Advanced Features
  • Generics, collections, and the Stream API
  • Lambda expressions and functional interfaces
  • Optional, records, sealed classes, and pattern matching
  • Concurrency — threads, executors, CompletableFuture
Lab: Java Streams & Concurrency PatternsDocker Lab
2Spring Boot Fundamentals
  • Spring Boot auto-configuration and starter dependencies
  • Dependency injection and the IoC container
  • Application properties, profiles, and configuration binding
  • REST controller, service, and repository layers
Lab: Spring Boot REST API — Employee ServiceDocker Lab
3JPA, Hibernate & Database Design
  • Entity mapping — annotations, relationships, cascade types
  • Spring Data JPA — repositories, derived queries, specifications
  • N+1 problem, fetch strategies, and entity graphs
  • Flyway migrations and database version control
Lab: JPA Entity Modeling & MigrationsDocker Lab
4Spring Security & Authentication
  • Security filter chain architecture
  • JWT generation, validation, and refresh token flow
  • Method-level security with @PreAuthorize
  • OAuth2 resource server configuration
Lab: Spring Security JWT + RBACDocker Lab
5Validation, Error Handling & API Design
  • Bean validation with Jakarta Validation
  • Global exception handling with @ControllerAdvice
  • Pagination, sorting, and filtering patterns
  • OpenAPI documentation with SpringDoc
Lab: Production API Design & Error HandlingDocker Lab
6Redis Caching & Performance
  • Spring Cache abstraction — @Cacheable, @CacheEvict, @CachePut
  • Redis integration and serialization strategies
  • Cache-aside and write-through patterns
  • Rate limiting with Redis and Bucket4j
Lab: Redis Caching for API PerformanceDocker Lab
7Apache Kafka & Event-Driven Architecture
  • Kafka architecture — brokers, topics, partitions, consumer groups
  • Spring Kafka — producer and consumer configuration
  • Event-driven patterns — event sourcing, CQRS basics
  • Dead-letter topics, retries, and exactly-once semantics
Lab: Kafka Event Pipeline — Order ProcessingDocker Lab
8Asynchronous Processing & Scheduling
  • Spring @Async and thread pool configuration
  • CompletableFuture composition for parallel tasks
  • Spring Events — application events and async listeners
  • Scheduled tasks with @Scheduled and cron expressions
Lab: Async Processing & Background JobsDocker Lab
9Testing Spring Boot Applications
  • JUnit 5 — lifecycle, assertions, and parameterized tests
  • Mockito — mocking, stubbing, and verification
  • Slice tests — @WebMvcTest, @DataJpaTest, @JsonTest
  • Testcontainers for integration testing with real databases
Lab: Comprehensive Test Suite with TestcontainersDocker Lab
10Structured Logging & Observability
  • SLF4J and Logback — structured JSON logging
  • MDC for correlation IDs and distributed tracing
  • Spring Boot Actuator — health, metrics, and info endpoints
  • Micrometer metrics and Prometheus integration
Lab: Observability — Logging, Metrics & HealthDocker Lab
11Reliability Patterns
  • Circuit breaker pattern with Resilience4j
  • Retry strategies — exponential backoff and jitter
  • Bulkhead pattern for resource isolation
  • Timeout configuration and graceful degradation
Lab: Resilience4j — Circuit Breaker & RetryDocker Lab
12Docker & Deployment
  • Dockerizing Spring Boot with multi-stage builds
  • Docker Compose for multi-service environments
  • Environment configuration and secrets management
  • Health checks, graceful shutdown, and liveness probes
Lab: Docker Compose Deployment StackDocker Lab
13Microservices Patterns
  • Service decomposition and bounded contexts
  • API gateway with Spring Cloud Gateway
  • Inter-service communication — REST, gRPC, and messaging
  • Saga pattern for distributed transactions
Lab: Microservices Communication PatternsDocker Lab
14Capstone Project & Interview Preparation
  • End-to-end capstone project execution and review
  • Java backend interview patterns — Spring, SQL, system design
  • Common interview coding problems in Java
  • Portfolio presentation and resume optimization
Lab: Capstone — Distributed Notification ServiceDocker Lab

Hands-On Labs Included

You build these yourself — guided exercises with real tools, not passive demos.

Spring Boot REST API — Employee Service

Docker Lab

2 hours

Spring BootJavaPostgreSQL

JPA Entity Modeling & Migrations

Docker Lab

2.5 hours

JPAHibernateFlywayPostgreSQL

Spring Security JWT + RBAC

Docker Lab

2.5 hours

Spring SecurityJWTSpring Boot

Kafka Event Pipeline — Order Processing

Docker Lab

3 hours

Apache KafkaSpring KafkaDocker

Comprehensive Test Suite with Testcontainers

Docker Lab

2 hours

JUnit 5MockitoTestcontainers

Resilience4j — Circuit Breaker & Retry

Docker Lab

2 hours

Resilience4jSpring Boot

Who Is This For?

Freshers & Graduates

Just graduated or finishing your degree? This course gives you the practical skills and portfolio projects that campus placements and entry-level interviews demand.

Career Switchers

Moving from another domain into tech? The structured curriculum and real-world projects bridge the gap between theory and what employers actually look for.

Ideal If You Are:

  • Fresh graduates with basic Java knowledge seeking backend engineering roles
  • Career switchers from other languages moving to the Java enterprise ecosystem
  • Full-stack developers who want to deepen their Java backend expertise
  • Junior Java developers who want production-grade engineering practices

Prerequisites

  • Basic Java programming (classes, interfaces, collections, exceptions)
  • Understanding of HTTP and REST concepts
  • A laptop with at least 8 GB RAM and Docker Desktop installed
  • No prior Spring Boot experience required

Career Support Included

We don't just teach you — we help you land the job.

Mock Interviews

Practice with real-world interview scenarios. Get feedback on technical depth, communication, and problem-solving approach.

Resume Review

One-on-one review sessions to craft a resume that highlights your projects, skills, and achievements the right way.

Portfolio Coaching

Guidance on presenting your course projects as professional portfolio pieces that stand out to hiring managers.

LinkedIn Optimization

Tips and templates to optimize your LinkedIn profile so recruiters find you and reach out.

Learn from Industry Practitioners

Our instructors are working professionals who build production systems daily. They bring real-world experience, battle-tested patterns, and the kind of practical insight that textbooks can't teach.

Course Details

FormatLive Online
Duration14 weeks
Schedule21 sessions
Batch SizeMax 15 students
CertificateYes, on completion
Lab SetupDocker-based (runs on your laptop)
PriceEnquire for pricing

Frequently Asked Questions

Will I get a job after completing this program?

Java backend roles are consistently among the most demanded positions in enterprise software, banking, and e-commerce. Our curriculum covers the Spring Boot, JPA, Kafka, and Docker skills that these employers evaluate. While we cannot guarantee placement, the program produces job-ready engineers.

Do I need experience with Spring Boot or Kafka?

No. We teach every framework from scratch. You need basic Java knowledge (classes, interfaces, collections), but all Spring Boot, JPA, Kafka, and Docker concepts are taught from the ground up.

How is this different from the Java Full-Stack + React course?

This course focuses exclusively on backend engineering — going deeper into Kafka, reliability patterns, microservices, and observability. The full-stack course splits time between backend and React frontend. Choose this if you want to specialize in backend engineering.

Is Kafka really necessary for a junior developer?

Kafka is used in most large-scale systems. Even if your first job does not use Kafka, understanding event-driven architecture makes you a stronger backend engineer and opens doors to better roles faster.

Does this cover microservices?

Yes. Week 13 covers microservices patterns including service decomposition, API gateway, inter-service communication, and the saga pattern. The capstone project is a distributed notification service.

What if I miss a live session?

All sessions are recorded and available on the student portal within 24 hours. The instructor and TAs are available on Slack for questions.

Ready to Start Your Java Backend Engineering Journey?

Talk to us to learn about upcoming batches, pricing, and payment plans.