From Fundamentals to Scalability
Enterprise Backend Java Developer
with Spring Boot
Master Production-Grade Backend Development - Deep dive into Java, Spring Boot, microservices, REST APIs, Kafka, databases, and building scalable enterprise systems

What You'll Master

Transform into a production-ready Enterprise Backend Java Developer with Spring Boot expertise

β˜• Java Fundamentals

Master core Java concepts, OOP principles, collections framework, multithreading, and modern Java features (Java 8+)

🌱 Spring Boot Framework

Build RESTful APIs, understand dependency injection, Spring MVC, Spring Data JPA, and Spring Boot auto-configuration

πŸ—οΈ Microservices Architecture

Design and implement microservices, service discovery, API gateways, and distributed system patterns

πŸ’Ύ Database Integration

Work with JPA/Hibernate, database migrations, transaction management, and optimize database queries

πŸ“¨ Message Queues & Event Streaming

Implement asynchronous communication with Kafka, RabbitMQ, and event-driven architectures

πŸš€ Production Deployment

Deploy Spring Boot applications with Docker, Kubernetes, CI/CD pipelines, monitoring, and scaling strategies

12 Weeks Intensive
3 Portfolio Projects
24/7 Support Available
100% Production-Ready

12-Week Intensive Curriculum

Structured learning path from foundations to production deployment

Phase 1: Foundations (Weeks 1-3)

Week 1: Java Fundamentals & OOP
  • Core Java concepts - variables, data types, operators, control flow
  • Object-Oriented Programming - classes, objects, inheritance, polymorphism
  • Java Collections Framework - List, Set, Map, Queue
  • Exception handling and best practices
  • Modern Java features (Java 8+) - lambdas, streams, Optional
πŸ“ Assignment: Build a library management system using OOP principles. Implement classes for Book, Author, Library with proper encapsulation, inheritance, and polymorphism. Use Java Collections for data storage and Java 8+ features for operations.
πŸ“Š Quiz: Java fundamentals, OOP concepts, collections framework, exception handling, modern Java features
Week 2: Spring Boot Fundamentals
  • Spring Boot introduction and auto-configuration
  • Dependency Injection and Inversion of Control (IoC)
  • Spring Boot starters and project structure
  • Building RESTful APIs with Spring MVC
  • Spring Boot Actuator for monitoring
πŸ“ Assignment: Create a RESTful API for a task management system. Implement CRUD operations, use Spring Boot auto-configuration, dependency injection, and add Actuator endpoints for health checks and metrics.
πŸ“Š Quiz: Spring Boot concepts, dependency injection, REST API design, Spring MVC, Actuator features
Week 3: Database Integration with Spring Data JPA
  • JPA/Hibernate fundamentals and entity mapping
  • Spring Data JPA repositories and query methods
  • Database relationships - One-to-One, One-to-Many, Many-to-Many
  • Transaction management and isolation levels
  • Database migrations with Flyway/Liquibase
πŸ“ Assignment: Extend the task management API with database persistence. Use Spring Data JPA, implement entity relationships, add custom query methods, handle transactions, and set up database migrations. Connect to PostgreSQL database.
πŸ“Š Quiz: JPA concepts, entity mapping, Spring Data repositories, relationships, transaction management, migration tools

Phase 2: Advanced Spring Boot & Microservices (Weeks 4-6)

Week 4: Spring Boot Advanced Features
  • Spring Boot configuration properties and profiles
  • Custom auto-configuration and starter creation
  • Spring Boot testing - unit tests, integration tests
  • REST API best practices - validation, error handling, documentation
  • API versioning and OpenAPI/Swagger integration
πŸ“ Assignment: Enhance your REST API with input validation, comprehensive error handling, API documentation using Swagger/OpenAPI, and implement multiple environment configurations (dev, staging, prod). Write unit and integration tests with 80%+ coverage.
πŸ“Š Quiz: Spring Boot configuration, auto-configuration, testing strategies, REST API best practices, API documentation
Week 5: Microservices Architecture
  • Microservices vs monolithic architecture
  • Service discovery with Eureka/Consul
  • API Gateway pattern with Spring Cloud Gateway
  • Inter-service communication - REST, gRPC
  • Distributed configuration with Spring Cloud Config
πŸ“ Assignment: Design and implement a microservices architecture with 3 services (User Service, Order Service, Product Service). Set up service discovery, API gateway, and inter-service communication. Implement distributed configuration management.
πŸ“Š Quiz: Microservices patterns, service discovery, API gateway, inter-service communication, distributed configuration
Week 6: Message Queues & Event-Driven Architecture
  • Message queues - Kafka, RabbitMQ fundamentals
  • Event-driven architecture patterns
  • Spring Kafka integration and producers/consumers
  • RabbitMQ with Spring AMQP
  • Event sourcing and CQRS patterns
πŸ“ Assignment: Implement an event-driven order processing system using Kafka. Create producers for order events, consumers for inventory and notification services. Implement error handling, retry mechanisms, and dead letter queues. Add RabbitMQ for email notifications.
πŸ“Š Quiz: Message queue concepts, Kafka architecture, RabbitMQ patterns, event-driven design, event sourcing, CQRS

Phase 3: Security, Testing & Performance (Weeks 7-9)

Week 7: Spring Security & Authentication
  • Spring Security fundamentals and architecture
  • Authentication mechanisms - JWT, OAuth2, Basic Auth
  • Authorization and role-based access control (RBAC)
  • Securing REST APIs and endpoints
  • Password encoding and security best practices
πŸ“ Assignment: Implement JWT-based authentication and authorization for your REST API. Add role-based access control (Admin, User, Guest), secure endpoints, implement password encryption, and add OAuth2 integration with Google/GitHub. Include security testing.
πŸ“Š Quiz: Spring Security architecture, authentication mechanisms, JWT tokens, OAuth2, authorization patterns, security best practices
Week 8: Advanced Testing & Quality Assurance
  • Unit testing with JUnit 5 and Mockito
  • Integration testing with Spring Boot Test
  • Test-driven development (TDD) practices
  • Code coverage and quality metrics
  • Contract testing and API testing strategies
πŸ“ Assignment: Write comprehensive test suite for your microservices. Achieve 80%+ code coverage with unit and integration tests. Implement TDD for a new feature, add contract tests for inter-service communication, and set up CI/CD pipeline with automated testing.
πŸ“Š Quiz: Testing strategies, JUnit 5, Mockito, Spring Boot testing, TDD practices, code coverage, contract testing
Week 9: Performance Optimization & Caching
  • Application performance monitoring and profiling
  • Caching strategies - Spring Cache, Redis, Caffeine
  • Database query optimization and N+1 problem
  • Connection pooling and resource management
  • Load testing and performance benchmarking
πŸ“ Assignment: Optimize your application performance. Implement Redis caching for frequently accessed data, optimize database queries, fix N+1 problems, set up connection pooling, and perform load testing with JMeter/Gatling. Document performance improvements with before/after metrics.
πŸ“Š Quiz: Performance monitoring, caching strategies, query optimization, connection pooling, load testing, performance metrics

Phase 4: DevOps & Production Deployment (Weeks 10-12)

Week 10: Docker & Containerization
  • Docker fundamentals and containerization
  • Creating Dockerfiles for Spring Boot applications
  • Docker Compose for multi-container applications
  • Container orchestration basics
  • Best practices for containerized Java applications
πŸ“ Assignment: Containerize your microservices application with Docker. Create optimized Dockerfiles, use Docker Compose to orchestrate all services (including databases, message queues), implement multi-stage builds, and optimize image sizes. Document containerization strategy.
πŸ“Š Quiz: Docker concepts, Dockerfile best practices, Docker Compose, container orchestration, Java containerization
Week 11: Kubernetes & Cloud Deployment
  • Kubernetes fundamentals - pods, services, deployments
  • Deploying Spring Boot applications to Kubernetes
  • Cloud platforms - AWS, GCP, Azure
  • CI/CD pipelines with GitHub Actions/Jenkins
  • Infrastructure as Code (IaC) with Terraform
πŸ“ Assignment: Deploy your microservices to Kubernetes (GKE/EKS/AKS). Set up deployments, services, ingress, config maps, and secrets. Create CI/CD pipeline with GitHub Actions that builds, tests, and deploys to Kubernetes. Use Terraform for infrastructure provisioning. Implement auto-scaling.
πŸ“Š Quiz: Kubernetes concepts, cloud deployment, CI/CD pipelines, Infrastructure as Code, auto-scaling, monitoring
Week 12: Monitoring, Logging & Production Best Practices
  • Application monitoring with Prometheus and Grafana
  • Centralized logging with ELK stack (Elasticsearch, Logstash, Kibana)
  • Distributed tracing with Zipkin/Jaeger
  • Health checks and alerting
  • Production best practices and troubleshooting
πŸ“ Assignment: Set up comprehensive monitoring and logging for your production deployment. Implement Prometheus metrics, Grafana dashboards, centralized logging with ELK stack, distributed tracing, and alerting. Create runbooks for common production issues. Perform disaster recovery testing.
πŸ“Š Quiz: Monitoring tools, logging strategies, distributed tracing, alerting, production best practices, troubleshooting techniques

Weeks 1-3: Programming 101 (Phase 1)

Week 1

  • Day 1: Variables, types, operators
  • Day 2: Control flow & boolean logic
  • Day 3: Loops & iteration patterns
  • Day 4: Functions/methods, scope & returns
  • Day 5: I/O & core collections (list/array/dict)
Assignment: CLI calculator (both languages). Quiz: 10 MCQs + 1 coding.

Week 2

  • Day 1: OOP basics (classes/objects)
  • Day 2: Encapsulation, inheritance, polymorphism
  • Day 3: Exceptions & error handling
  • Day 4: File I/O in Java & Python
  • Day 5: OOP workshop (build a mini library)
Assignment: Book Library class with save/load. Quiz: 10 MCQs + 1 coding.

Week 3

  • Day 1: Modular programming & packaging
  • Day 2: Complexity & Big-O
  • Day 3: Debugging & unit testing (JUnit/pytest)
  • Day 4: Git/GitHub basics; PR etiquette
  • Day 5: Mini-project: CLI To-Do app (CRUD)
Assignment: To-Do app with tests & README. Quiz: 10 MCQs + 1 coding.

Weeks 4-6: Data Structures (Phase 2)

Week 4

  • Day 1: Arrays & lists
  • Day 2: Linked lists (SLL/DLL)
  • Day 3: Stacks (LIFO) & use-cases
  • Day 4: Queues/Deque & variants
  • Day 5: Lab: implement DS in both languages
Assignment: Implement List/Stack/Queue APIs. Quiz: 10 MCQs + 1 coding.

Week 5

  • Day 1: Trees & recursion basics
  • Day 2: BST ops (insert/delete/search)
  • Day 3: Graphs & adjacency models
  • Day 4: Traversals: DFS/BFS
  • Day 5: Workshop: paths, levels, cycles
Assignment: BST + BFS on grid; README with Big-O. Quiz: 10 MCQs + 1 coding.

Week 6

  • Day 1: Hash tables (hashing, collisions)
  • Day 2: Heaps/PQs; heap sort
  • Day 3: Recursion deep-dive
  • Day 4: Memory mgmt, GC concepts
  • Day 5: DS practice set (mixed)
Assignment: LRU Cache (hashmap+DLL). Quiz: 10 MCQs + 1 coding.

Weeks 7-9: Problem Solving (Phase 3)

Focus on patterns and 30-40 easy/medium LeetCode-style questions with guided walkthroughs. Daily flow: short lecture goals β†’ key takeaways β†’ real-world analogy β†’ hands-on exercise β†’ stretch β†’ review.

Week 7

  • Day 1: Problem analysis & constraints; pattern library intro
  • Day 2: Two-pointers; sorted arrays & string scans
  • Day 3: Sliding window (fixed & variable)
  • Day 4: Sorting fundamentals; stability & when to use what
  • Day 5: Review set (6-8 questions) + live walkthrough
Assignment: 10 questions (2Γ— two-pointers, 4Γ— sliding-window, 4Γ— sorting). Quiz: 10 MCQs + 1 coding.

Week 8

  • Day 1: Recursion patterns & backtracking (subsets, permutations)
  • Day 2: Dynamic Programming I (memoization vs tabulation)
  • Day 3: DP II (knapsack, coin change, LIS ideas)
  • Day 4: Graph algorithms I (BFS shortest path, topo sort)
  • Day 5: Mock interview #1 (15-min DSA + 10-min feedback per student)
Assignment: 10 questions (3Γ— recursion/backtracking, 5Γ— DP, 2Γ— graph BFS). Quiz: 10 MCQs + 1 coding.

Week 9

  • Day 1: Greedy techniques; exchange arguments & proofs of correctness (informal)
  • Day 2: Advanced graphs (Dijkstra intro; when BFS vs Dijkstra)
  • Day 3: Mixed set (hashing, heap, prefix sum)
  • Day 4: System-aware problem solving (I/O limits, memory caps)
  • Day 5: Mock interview #2 + feedback & personalized plan
Assignment: 10 questions (2Γ— greedy, 3Γ— heap, 3Γ— hashing/prefix, 2Γ— graph). Quiz: 10 MCQs + 1 coding.

Weeks 10-11: Databases (Phase 4)

Week 10

  • Day 1: Relational model, tables, PK/FK; ER β†’ schema
  • Day 2: Normalization (1NF-3NF); denormalization trade-offs
  • Day 3: SELECT, WHERE, ORDER BY, LIMIT; CRUD basics
  • Day 4: Joins (INNER/LEFT/RIGHT/FULL), GROUP BY, HAVING
  • Day 5: Lab: design a Course–Student–Enrollment schema
Assignment: Create schema & seed data; 12 queries (mix of joins & groups). Quiz: 12 MCQs + 1 query.

Week 11

  • Day 1: Indexes & query plans; when indexes hurt/help
  • Day 2: Transactions, ACID; isolation levels & anomalies
  • Day 3: Stored routines & views (intro), pagination patterns
  • Day 4: NoSQL overview (key-value, document); when to choose which
  • Day 5: Mini-project: Analytics queries & simple dashboard export (CSV/JSON)
Assignment: Optimize queries (add/remove indexes), measure timings, document rationale. Quiz: 12 MCQs + 1 query.

Weeks 12-13: System Design (Phase 5)

Week 12

  • Day 1: Client-server, REST, HTTP verbs, idempotency; API design (resources, pagination)
  • Day 2: Statelessness, session vs token auth (concepts); rate limiting basics
  • Day 3: Caching (CDN, reverse proxy, app-level); cache invalidation strategies
  • Day 4: Load balancing (round-robin, least-conn); health checks; blue/green overview
  • Day 5: Design exercise: URL Shortener (read-heavy, cache, DB schema, API)
Assignment: Write a 2-page design doc + simple API spec (OpenAPI snippet encouraged). Quiz: 12 MCQs.

Week 13

  • Day 1: Databases at scale: replication vs sharding; read/write paths
  • Day 2: Consistency models; CAP & PACELC intuition; queues for decoupling
  • Day 3: Observability 101 (logs, metrics, traces) & SLOs; error budgets
  • Day 4: Design exercise: News Feed/Timeline (fan-out, denorm, caches)
  • Day 5: Mock system design interview + structured feedback rubric
Assignment: 3-page design doc with diagram and capacity estimates (QPS, storage). Quiz: 12 MCQs.

Week 14: Developer Tools & Productivity (Phase 6)

Week 14

  • Day 1: IDE mastery: IntelliJ IDEA, Eclipse, VS Code setup and productivity tips
  • Day 2: Debugging techniques: Breakpoints, step debugging, remote debugging, profiling
  • Day 3: Code quality tools: SonarQube, Checkstyle, SpotBugs for code analysis
  • Day 4: Performance profiling: JProfiler, VisualVM, memory analysis, CPU profiling
  • Day 5: Developer productivity: Git workflows, code review best practices, documentation tools
Assignment: Profile and optimize your capstone project using profiling tools. Quiz: 10 MCQs on developer tools and productivity.

Week 15: Capstone Project (Phase 7)

Build 2-3 complete end-to-end applications that combine API + Database + Frontend concepts with AI enhancement. Teams of 2-3; PR-based workflow on GitHub.

  • Project 1: Smart To-Do with Analytics (REST API, MySQL, dashboard)
  • Project 2: E-Commerce Lite (Catalog, cart, orders, inventory consistency)
  • Project 3: Minimal Chat Service (User/channel models, message APIs, pagination)
Deliverables: Design doc (3-5 pages), API spec (OpenAPI), DB schema (ER + DDL), runnable code, README, demo video (≀5 min).

πŸš€ Game-Changing Capstone Projects

Build production-grade AI applications that will make recruiters stop scrolling

πŸ’Ό These aren't toy projects! Each capstone demonstrates production-grade enterprise backend development with real-world patterns that companies are actively hiring for.

πŸ›’ Project 1: E-commerce Backend Platform

Full-Featured Online Store Backend

🎯 Why This Project Stands Out:

This comprehensive e-commerce backend demonstrates your ability to build production-ready enterprise applications with Spring Boot, covering all essential backend patterns used in real-world systems.

Spring Boot Spring Data JPA PostgreSQL Redis JWT Security

✨ Core Features You'll Build

  • πŸ‘€ User Management: Registration, authentication, JWT tokens, role-based access control
  • πŸ“¦ Product Catalog: CRUD operations, categories, search, filtering, pagination
  • πŸ›’ Shopping Cart: Add/remove items, cart persistence, session management
  • πŸ’³ Order Processing: Order creation, payment integration, order history
  • πŸ“Š Admin Dashboard: Analytics, user management, product management
  • πŸ” Search & Filtering: Full-text search, advanced filtering, sorting

πŸŽ“ What You'll Master

  • RESTful API design and best practices
  • Database design and optimization
  • Spring Security and JWT implementation
  • Caching strategies with Redis
  • Exception handling and validation
  • API documentation with Swagger
πŸ’Ό Career Impact: E-commerce backends are the foundation of many enterprise applications. This project showcases skills directly applicable to most backend developer roles!

πŸ—οΈ Project 2: Microservices Architecture

Distributed System with Service Communication

🎯 The Enterprise Standard:

Microservices architecture is what every modern enterprise uses. This project demonstrates your ability to design, build, and deploy distributed systems with proper service communication, discovery, and coordination.

Microservices Spring Cloud Kafka Docker API Gateway

πŸ”§ Services You'll Build

  • πŸ‘₯ User Service: User management, authentication, authorization
  • πŸ“¦ Product Service: Product catalog, inventory management
  • πŸ›’ Order Service: Order processing, order history
  • πŸ’³ Payment Service: Payment processing, transaction management
  • πŸ“§ Notification Service: Email notifications, SMS alerts
  • πŸ” API Gateway: Request routing, load balancing, rate limiting

πŸ”₯ Advanced Features

  • πŸ”— Service Discovery: Eureka/Consul for service registration
  • πŸ“¨ Event-Driven Communication: Kafka for async messaging
  • πŸ”„ Distributed Transactions: Saga pattern implementation
  • ⚑ Circuit Breaker: Resilience4j for fault tolerance
  • πŸ“Š Centralized Configuration: Spring Cloud Config
  • πŸ” Security: OAuth2, JWT across services

πŸ› οΈ Real-World Patterns

  • Service-to-service communication (REST, gRPC)
  • Event sourcing and CQRS
  • Distributed tracing and monitoring
  • Database per service pattern
  • API versioning and backward compatibility
🌟 Industry Demand: Microservices expertise is highly sought after. Companies like Netflix, Amazon, and Uber use microservices architecture, and they're always hiring engineers with these skills!

πŸš€ Project 3: Production Deployment & DevOps

CI/CD, Containerization & Cloud Deployment

🎯 Production-Ready Deployment:

Take your microservices application and deploy it to production with industry-standard DevOps practices. This project demonstrates your ability to handle the entire software lifecycle from development to deployment.

Docker Kubernetes CI/CD Monitoring Cloud

πŸ—οΈ Infrastructure & Deployment

🐳 Containerization
  • Multi-stage Docker builds for optimized images
  • Docker Compose for local development
  • Container security best practices
  • Image optimization and size reduction
☸️ Kubernetes Orchestration
  • Deployments, Services, Ingress configuration
  • ConfigMaps and Secrets management
  • Horizontal Pod Autoscaling (HPA)
  • Health checks and liveness probes
πŸ”„ CI/CD Pipeline
  • GitHub Actions/Jenkins pipeline setup
  • Automated testing and code quality checks
  • Automated builds and deployments
  • Blue-green and canary deployment strategies
πŸ“Š Monitoring & Observability
  • Prometheus metrics collection
  • Grafana dashboards for visualization
  • ELK stack for centralized logging
  • Distributed tracing with Zipkin/Jaeger

πŸ”¬ Advanced DevOps Practices

  • πŸ—οΈ Infrastructure as Code: Terraform for cloud provisioning
  • πŸ” Secrets Management: Vault or cloud-native solutions
  • ⚑ Auto-scaling: Horizontal and vertical scaling strategies
  • πŸ›‘οΈ Security: Container scanning, vulnerability management
  • πŸ“ˆ Performance: Load testing and optimization
πŸ’Ž Portfolio Differentiator: Most developers can code, but few can deploy and maintain production systems. DevOps skills command premium salaries and are essential for senior backend roles!

πŸŽ“ Full Support for Every Project

πŸ“
Weekly Code Reviews

Get expert feedback on your implementation

πŸ‘₯
Office Hours

1-on-1 guidance when you're stuck

πŸš€
Deployment Help

Launch your projects to production

πŸ“Ή
Demo Recording

Create impressive presentation videos

Frequently Asked Questions

Everything you need to know about the Enterprise Backend Java Developer bootcamp

Q: Do I need ML/AI background?
No, but you should be comfortable with Python. We start with fundamentals and build up to advanced topics.
Q: What if I miss a live session?
All sessions are recorded. You can watch later, but we encourage live attendance for interaction.
Q: How much does it cost to practice with APIs?
Budget $20-50 for the entire bootcamp. We provide credits for initial practice and teach cost optimization.
Q: Will this help me get a job?
We provide placement assistance, but can't guarantee jobs. Our focus is making you truly job-ready with portfolio projects.
Q: Can I complete this while working full-time?
Yes! It requires 15-20 hours/week. Evening sessions and weekend scheduling accommodate working professionals.
Q: What's the difference from free YouTube tutorials?
Structured curriculum, hands-on projects, expert mentorship, code reviews, real production patterns, and accountability.

⚠️ The Job Market Harsh Reality

India produces 1.5 million engineers yearly, but only 10% secure jobs. 83% fail to find relevant employment due to the severe mismatch between college curricula and industry needs. Traditional education focuses on theory, but employers demand practical skills in Java, Spring Boot, Microservices, System Design, and Backend Development.

1.5M Engineers Graduated Yearly
10% Get Jobs
83% Unemployed

Ready to Master Enterprise Backend Java Development?

Join our comprehensive bootcamp and transform into a production-ready AI Engineer

πŸ’¬