Java Full Stack Development (Spring Boot + React)

Build a rock-solid Java foundation so every framework you learn later clicks faster.

• JDK/JRE/JVM architecture and bytecode execution
• variables, primitive types, operators, and type casting
• control flow, loops, and pattern matching in switch
• arrays, strings, and the StringBuilder API
• classes, objects, constructors, and the this keyword
• encapsulation, inheritance, and polymorphism
• abstraction via abstract classes and interfaces
• access modifiers and package structuring
• exception handling with try-catch-finally and custom exceptions
• the Collections Framework: List, Set, Map, Queue
• generics and bounded type parameters
• static vs instance members and the static keyword
• immutability and the final keyword
• reading and writing code with Git and Maven project structure

Write production-grade Java that handles concurrency, streams, and modern language features with confidence.

• functional interfaces and lambda expressions
• the Stream API for filtering, mapping, and reducing data
• Optional and null-safety patterns
• java.time API for dates and durations
• threads, the Runnable/Callable interfaces, and thread lifecycle
• synchronization, locks, and the java.util.concurrent package
• ExecutorService and thread pools
• records, sealed classes, and pattern matching (Java 17-21 features)
• annotations and reflection basics
• file I/O with NIO.2 and try-with-resources
• serialization and object cloning
• writing unit tests with JUnit 5 and assertions
• Maven build lifecycle, dependencies, and profiles
• JVM memory model, garbage collection, and basic performance tuning

Sharpen problem-solving speed so you clear coding rounds and technical interviews with confidence.

• time and space complexity analysis (Big-O)
• arrays, two-pointer, and sliding window techniques
• strings and pattern-matching problems
• linked lists: singly, doubly, and circular
• stacks and queues with real-world use cases
• recursion and backtracking fundamentals
• binary trees, BSTs, and tree traversals
• heaps, priority queues, and the top-K pattern
• hashing, HashMap internals, and collision handling
• graphs: BFS, DFS, and topological sort
• dynamic programming: memoization to tabulation
• greedy algorithms and interval problems
• sorting algorithms and searching techniques
• mock interview practice on KodPrep Practice with company-tagged problems

Design and query relational databases the way production backend systems expect.

• relational model: tables, keys, and constraints
• writing SELECT, INSERT, UPDATE, DELETE queries
• joins: inner, left, right, and self joins
• aggregate functions, GROUP BY, and HAVING
• subqueries and common table expressions (CTEs)
• normalization (1NF-3NF) and denormalization trade-offs
• indexes and how the query planner uses them
• transactions, ACID properties, and isolation levels
• stored procedures, triggers, and views
• MySQL setup, users, and connection pooling basics
• schema design for a real application (ER diagrams)
• query performance tuning with EXPLAIN
• database migrations and versioning strategy
• intro to Redis as a caching layer alongside MySQL

Ship real REST APIs fast using the framework powering most enterprise Java backends.

• Inversion of Control and Dependency Injection concepts
• Spring Bean lifecycle and application context
• Spring Boot auto-configuration and starter dependencies
• building REST controllers with @RestController and @RequestMapping
• request/response handling: path variables, query params, request bodies
• DTOs, validation with Bean Validation (@Valid)
• exception handling with @ControllerAdvice
• application.yml/properties and profile-based configuration
• layered architecture: controller, service, repository
• dependency injection with @Autowired and constructor injection
• building and consuming RESTful APIs following REST principles
• API documentation with OpenAPI/Swagger
• Spring Boot Actuator for health checks and metrics
• packaging and running a Spring Boot application

Persist and query data cleanly using the ORM stack real enterprise teams rely on.

• JPA vs Hibernate vs Spring Data JPA: how the pieces fit
• entity mapping with @Entity, @Table, @Id, @GeneratedValue
• relationships: @OneToOne, @OneToMany, @ManyToOne, @ManyToMany
• cascade types and orphan removal
• lazy vs eager fetching and the N+1 query problem
• Spring Data JPA repositories and derived query methods
• custom queries with @Query and JPQL
• pagination and sorting with Pageable
• transactions with @Transactional and propagation levels
• database migrations with Flyway/Liquibase
• connection pooling with HikariCP
• caching frequently accessed data with Redis
• auditing entities (createdAt/updatedAt) automatically
• testing the repository layer with an in-memory database

Lock down APIs and prove they work before shipping, the way interviewers and employers expect.

• authentication vs authorization fundamentals
• Spring Security filter chain and configuration
• stateless authentication with JWT: generation and validation
• role-based and method-level access control (@PreAuthorize)
• password hashing with BCrypt
• CORS and CSRF protection in a REST API
• OAuth2 login flow basics (Google/GitHub)
• securing endpoints and handling 401/403 responses
• writing unit tests with JUnit 5 and Mockito
• integration testing REST controllers with MockMvc
• test-driven development workflow for a service layer
• code coverage and test reporting
• common vulnerabilities: SQL injection, XSS, and how Spring guards against them
• logging and audit trails for security-sensitive actions

Build responsive, production-style UIs that talk to your Spring Boot APIs.

• JSX syntax and component-based architecture
• functional components and props
• state management with useState
• side effects and lifecycle with useEffect
• conditional rendering and rendering lists with keys
• forms and controlled components
• React Router for multi-page navigation
• consuming REST APIs with fetch/Axios
• handling loading, error, and empty states
• global state with Context API
• custom hooks for reusable logic
• storing and attaching JWT tokens to authenticated requests
• component styling approaches (CSS modules, Tailwind basics)
• building and connecting a full CRUD UI to a Spring Boot backend

Decompose a monolith into resilient, independently deployable services that scale.

• monolith vs microservices: when to split and when not to
• service decomposition around business domains
• REST-based inter-service communication
• service discovery with Eureka
• API Gateway pattern with Spring Cloud Gateway
• centralized configuration with Spring Cloud Config
• resilience patterns: circuit breaker, retry, timeout with Resilience4j
• event-driven architecture fundamentals
• Kafka topics, partitions, producers, and consumers
• building a producer-consumer flow in Spring Boot with Kafka
• handling eventual consistency across services
• distributed tracing and correlation IDs across services
• database-per-service pattern and data ownership
• designing a multi-service capstone (e.g., order + notification services)

Package, containerize, and ship your application the way real engineering teams deploy to production.

• Git branching strategies, pull requests, and code review workflow
• writing a Dockerfile for a Spring Boot application
• multi-stage Docker builds for smaller images
• Docker Compose for local multi-container environments (app + MySQL + Redis)
• environment variables and externalized configuration for containers
• building a CI pipeline with GitHub Actions
• running automated tests as part of the pipeline
• packaging and versioning releases with Maven
• basics of container orchestration and Kubernetes concepts
• deploying a containerized app to a cloud VM or managed service
• application logging and centralized log aggregation
• monitoring health and metrics with Spring Boot Actuator
• zero-downtime deployment strategies
• rollback and incident-response basics

Multiply your output as a Java full stack developer using AI copilots the way modern teams actually work.

• using AI code assistants for boilerplate generation (entities, controllers, tests)
• prompt patterns for generating Spring Boot CRUD scaffolding
• AI-assisted debugging and stack-trace triage
• generating and refining unit tests with an AI assistant
• AI-assisted code review and refactoring suggestions
• using AI to explain and document unfamiliar codebases
• generating React components and hooks with AI assistance
• writing effective, specific prompts for backend and frontend tasks
• verifying AI-generated code for correctness and security
• using AI to draft API documentation and commit messages
• AI-assisted SQL query generation and optimization
• responsible use: avoiding leaked secrets and hallucinated APIs
• building a small feature end-to-end with an AI pair-programming workflow
• staying current: evaluating new AI dev tools for a Java full stack workflow