// java_lab_session
// microservices_architecture
// enterprise_java_workshop
INFONEXUS delivers Indore's most comprehensive Java program — from OOP foundations to Spring Boot microservices, event-driven architecture with Kafka, Kubernetes orchestration, and AI integration using LangChain4j and OpenAI SDK.
INFONEXUS Java training mirrors actual Java engineering at Fortune 500 companies and top Indian IT firms — no toy examples.
INFONEXUS teaches Record classes, Sealed types, Pattern matching, Virtual Threads (Project Loom), and the latest Java 21 LTS features used in production at Infosys, TCS, and Flipkart.
Cover Spring Boot 3.x, Spring Security 6, Spring Data JPA, Spring Batch, Spring Cloud — the complete enterprise Java stack. Every module builds a production-grade component.
Build reactive microservices with Apache Kafka, implement CQRS and Event Sourcing patterns, and architect systems that handle millions of events per second.
Integrate OpenAI, Gemini, and local LLMs into Java applications using LangChain4j. Build RAG pipelines, AI agents, and intelligent Spring Boot services for the AI-first enterprise.
Deploy Java microservices on Kubernetes with Helm charts, implement health probes, resource limits, horizontal scaling, and CI/CD pipelines using GitHub Actions + ArgoCD.
INFONEXUS Java graduates work at Persistent Systems, Mphasis, Cognizant, and global product companies. Vijay Nagar's most career-focused Java training center since 2016.
INFONEXUS Java Professional graduates command ₹8–30 LPA across enterprise product companies, startups, and global IT firms.
Three progressive levels — from Java syntax to designing AI-integrated cloud-native enterprise systems from scratch.
Master Java 21 fundamentals, OOP, collections, generics, multithreading, JDBC, and build your first console-based enterprise application. Designed for absolute beginners to programming or developers switching from other languages. 10 modules with hands-on coding labs and weekly assignments.
Install JDK 21, configure IntelliJ IDEA, understand JVM architecture (heap, stack, GC), write first programs, learn Java's compile → bytecode → JIT execution model.
Classes, objects, constructors, method overloading/overriding, abstract classes, interfaces, sealed classes (Java 17+), and record types for immutable data modeling.
ArrayList, LinkedList, HashMap, TreeMap, HashSet, LinkedHashSet, PriorityQueue, Deque — when to use each, time complexity, and generic type bounds for type-safe code.
Lambda expressions, method references, Stream API operations (filter, map, reduce, collect), Optional to eliminate NullPointerException, and Collectors for aggregations.
Thread lifecycle, Runnable/Callable, ExecutorService, CompletableFuture, synchronized blocks, Lock/ReentrantLock, volatile, atomic variables, and Virtual Threads (Project Loom).
Checked vs unchecked exceptions, multi-catch, try-with-resources, custom exceptions, SLF4J + Logback structured logging, and log levels for production debugging.
Connect Java to MySQL/PostgreSQL, execute prepared statements, handle transactions, use connection pooling with HikariCP, and implement the DAO pattern for clean data access.
Read/write files with Path API, watch directory changes with WatchService, serialize objects with JSON (Jackson), and work with ZIP archives and binary files programmatically.
Write unit tests with JUnit 5, use @BeforeEach/@AfterEach lifecycle hooks, parameterized tests, mock dependencies with Mockito, and achieve 80%+ test coverage on every project.
Build a complete console + REST-ready Library Management System using all Core Java concepts: OOP design, collections, JDBC persistence, logging, exception handling, and full JUnit test suite.
Transform from Java developer to Spring Boot engineer. Build production REST APIs with Spring Boot 3.x, master JPA/Hibernate, implement OAuth2 security, work with Redis caching, message queues, and deploy containerized applications. This is the daily workflow of a mid-to-senior Java developer at any top IT company.
Spring IoC container, dependency injection, component scanning, @Configuration, @Bean, Spring profiles, application.yml/properties, Actuator health endpoints, and project structure best practices.
@RestController, @RequestMapping, path variables, request params, @RequestBody, ResponseEntity, @ExceptionHandler, ProblemDetail (RFC 7807), and API versioning strategies.
Entity mapping, relationships (@OneToMany, @ManyToMany), JPQL, Criteria API, N+1 query prevention, Hibernate 2nd-level cache, pagination with Pageable, and database migrations with Flyway.
SecurityFilterChain, form login, HTTP Basic, JWT token generation/validation, OAuth2 Resource Server, method-level security with @PreAuthorize, and CSRF/CORS configuration for SPAs.
Spring Cache with Redis backend, @Cacheable/@CacheEvict, session management, Lua scripts for atomic rate limiting, pub/sub messaging, and Redis Streams for event processing.
Message queues, exchanges, routing keys, dead-letter queues, RabbitMQ fanout/topic/direct exchanges, Spring AMQP @RabbitListener, and reliable message delivery patterns.
Write optimized multi-stage Dockerfiles for Spring Boot, use Docker Compose for local stacks (App + PostgreSQL + Redis + RabbitMQ), and publish images to Docker Hub and AWS ECR.
Instrument Spring Boot with Micrometer metrics, expose to Prometheus, visualize with Grafana dashboards, implement distributed tracing with Zipkin/Jaeger, and set up alerting.
Build GitHub Actions pipelines: compile → test → code quality (SonarQube) → Docker build → push → deploy to AWS ECS Fargate or Elastic Beanstalk with blue-green strategies.
Define GraphQL schemas, implement resolvers, use DataLoader for N+1 prevention, add subscriptions with WebSocket, and compare REST vs GraphQL design trade-offs for different APIs.
Integration tests with @SpringBootTest, Testcontainers for real DB/Redis containers in tests, REST-assured for API testing, contract testing with Pact, and performance tests with Gatling.
Build a production e-commerce REST API: products, orders, payments, inventory, JWT auth, Redis cart, email with async tasks, Docker Compose stack, deployed to AWS with CI/CD pipeline.
The elite program for senior Java engineers, architects, and developers targeting ₹15-30 LPA roles. Master distributed microservices with Kafka, cloud-native deployment on Kubernetes, reactive programming with Spring WebFlux, AI integration with LangChain4j, and architect production systems used by millions. Limited batch size — maximum mentorship quality.
Service decomposition with DDD Bounded Contexts, Aggregates, Domain Events, API Gateway patterns with Spring Cloud Gateway, service registry with Eureka, and circuit breaker with Resilience4j.
Kafka producers/consumers in Spring Boot, partitions & consumer groups, exactly-once semantics, Kafka Streams for real-time processing, Schema Registry with Avro, and Kafka Connect for data pipelines.
Implement CQRS with separate read/write models, Event Sourcing with Axon Framework, choreography-based Saga for distributed transactions, and eventual consistency in microservices.
Non-blocking reactive streams with Mono/Flux, reactive WebClient, R2DBC for reactive database access, backpressure handling, and when to choose WebFlux vs MVC for high-concurrency.
Build AI-powered Java services using LangChain4j: chat memory, RAG pipelines with vector stores (Weaviate/Pinecone), tool calling, AI agents, and integrate Gemini/Claude/GPT-4 in Spring Boot.
K8s Deployments, Services, ConfigMaps, Secrets, HPA, resource limits, liveness/readiness probes, Helm chart authoring, Istio service mesh for mTLS and traffic management, and multi-cluster federation.
Implement SSO with Keycloak, OpenID Connect flows, token introspection, refresh token rotation, API gateway authentication, service-to-service mTLS, and secrets management with HashiCorp Vault.
Implement GitOps workflow with ArgoCD, declarative Kubernetes management, progressive delivery with Argo Rollouts (blue-green, canary), and internal developer platform tooling.
Payment gateway integration (Razorpay, Stripe Java SDK), idempotency patterns, distributed locks for financial transactions, audit logging, PCI-DSS compliance patterns, and reconciliation pipelines.
Index Java entities to Elasticsearch with Spring Data Elasticsearch, implement full-text search, autocomplete, faceted filtering, geo-spatial queries, and real-time sync via Kafka CDC pipelines.
Design high-traffic systems (URL shortener, payment system, notification service at scale), capacity planning, database sharding, consistent hashing, CAP theorem, and technical interview preparation.
Architect and build a complete banking microservices platform: account, transaction, notification, fraud detection with AI, Kafka event bus, deployed on Kubernetes with GitOps — interview-winning portfolio capstone.
Every tool taught at INFONEXUS is actively used in enterprise Java teams at top companies right now.
Real salary ranges for Java developers in India — based on current job market data across top companies.
| Role | Experience | Tech Stack | Salary Range | Companies |
|---|---|---|---|---|
| Core Java Developer | 0-1 yr (Fresher) | Core Java, JDBC, SQL | ₹3.5 – 6 LPA | TCS, Infosys, Wipro |
| Java Backend Developer | 1-3 yrs | Spring Boot, REST, JPA | ₹6 – 12 LPA | Mphasis, Persistent, Nagarro |
| Senior Java Developer | 3-5 yrs | Microservices, Kafka, AWS | ₹12 – 20 LPA | Flipkart, PayTM, PhonePe |
| Java Solutions Architect | 5-8 yrs | Cloud-Native, K8s, DDD | ₹20 – 35 LPA | Goldman Sachs, Oracle, SAP |
| Java AI/Cloud Engineer | 3+ yrs | LangChain4j, RAG, K8s | ₹15 – 30 LPA | AI Startups, FAANG India |
INFONEXUS Java graduates are working at product companies, banking firms, and global IT leaders across India.
The Advanced track's Spring Boot + Docker + AWS combination is exactly what my interviewer asked about. Got an offer from Persistent Systems at ₹13.5 LPA within 2 months of finishing the course. The Testcontainers module was something most institutes never cover.
Professional track's Kafka + Microservices + Kubernetes is absolutely industry-level. I came with 2 years of basic Spring MVC experience and left able to architect complete distributed systems. Cleared FAANG-style system design rounds after this training.
Started from zero Java knowledge. Core track built my fundamentals solidly — especially the JVM internals and multithreading modules. INFONEXUS teaches Java the way enterprise companies actually use it, not the textbook way. Best investment in my career.
Join 2,100+ Java developers trained at INFONEXUS — now building microservices at Flipkart, PhonePe, Persistent, and global banks.
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