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Ask any hiring panel at a global product company or a top-tier services MNC what they value in entry-level and early-career engineers. The answers are consistent:
Predictable delivery over ad-hoc coding
Security + performance baked into the stack
Clean APIs that scale under pressure
Automation and observability that keep systems stable
Team skills: code reviews, tickets, docs not just raw speed
Java remains the backbone of those expectations. With Java 17/22, Spring Boot 3, Microservices, and AWS leading enterprise stacks across banking, e-commerce, telecom, healthcare, and SaaS, a job-ready engineer today looks like this:
Writes clean, testable Java
Builds secure REST APIs with Spring Boot
Understands data models for SQL/NoSQL
Knows basic React to ship functional front ends
Can Dockerize and deploy to cloud with CI/CD
Presents work with documentation, logs, traces, and metrics
NareshIT’s 2025 Full Stack Java course is engineered to produce exactly that profile MNC-ready engineers who can integrate into sprint teams from week one.
Production-style Java & Spring Boot code
You’ll learn Java 17/22 features (records, text blocks, pattern matching) and apply them with Spring Boot 3: controllers, services, repositories, DTOs, validation, and global exception handling.
Microservices architecture fluency
Service decomposition, API contracts, Spring Cloud Gateway, service discovery (Eureka/Consul), inter-service comms, fault tolerance basics, and API versioning.
Secure, observable systems
Spring Security + JWT, role-based access, CORS policies, structured logging (SLF4J/Logback), Actuator health checks, metrics, error correlation IDs.
Cloud-ready delivery
Docker for parity, Jenkins/GitHub Actions for CI, AWS EC2/S3/RDS deployment, reverse proxy with Nginx, and environment-specific configuration.
Data modeling that performs
PostgreSQL/MySQL schemas, indexing, normalization vs pragmatism, JPA performance (N+1 fixes with fetch/join, @EntityGraph), and MongoDB for document use cases.
Test discipline
JUnit 5, Mockito, Spring test slices, Postman collections, and basic performance profiling so you prove correctness and avoid regressions.
Frontend integration
React 18 essentials: hooks, forms, routing, table patterns, API integration, protected routes enough to ship full-stack features without waiting on another team.
Professional packaging
Git flows, PR etiquette, commit hygiene, READMEs, ERDs, API contracts (OpenAPI/Swagger), demo videos, and sprint-style documentation.
What you learn: OOP, collections, streams, concurrency basics, exceptions, files/NIO.2, and Java 17/22 improvements.
Why MNCs care: These fundamentals surface in code reviews, bug triage, and performance tickets every week.
Enterprise bridge: JDBC, Servlets/JSP, MVC patterns and web fundamentals give you context on how legacy and monoliths work useful in MNC transformations.
What you build: layered architecture, DTO mapping, validation, error contracts; pagination/sorting/filtering; file upload/download; Swagger docs.
Security: JWT, RBAC, CORS, input validation, rate-limit patterns at gateway level (intro).
Observability: Actuator endpoints, health, metrics, log correlation IDs.
What interviewers test: API design, idempotency, error handling, pagination strategies, and security reasoning.
Patterns: service boundaries, database-per-service, eventual consistency (overview), gateway routing, discovery, config separation.
Resilience basics: timeouts, retries, circuit breaker concepts, fallbacks (intro).
Data: messaging intro (Kafka/RabbitMQ), when to prefer async.
What interviewers test: Why split this service? How do you version APIs? What happens when downstream fails?
Relational: schema design, FKs, indexes, query plans, migrations (Flyway/Liquibase).
JPA tuning: projections, pagination, select/join strategies, batch operations.
MongoDB: document modeling, when it wins over relational.
MNC reality: Most production incidents are data problems. Understanding modeling + performance makes you valuable fast.
What you ship: responsive components, forms, validations, routing, API calls, loading/empty/error states, tables with filters and pagination.
Integration: token handling, interceptors, protected routes, role-based rendering.
Why MNCs care: You can demo end-to-end features, not “just backend.” That shortens feedback loops.
Git & GitHub: branching models, PR reviews, release tags.
Docker: multi-stage builds, small images, docker-compose for local parity.
CI/CD: Jenkins or GitHub Actions pipelines - build → test → package → deploy.
AWS: EC2, S3, RDS, security groups; Nginx reverse proxy; SSL/TLS basics; environment variables & secrets.
IAC (intro): Terraform concepts so infra isn’t a black box.
Interview edge: “I deployed it here, this is the health endpoint, here are logs and metrics.” That confidence lands offers.
Unit tests: JUnit 5, mocking with Mockito, parameterized tests.
Integration tests: Spring test slices, testcontainers (intro).
API testing: Postman collections with environments and scripts.
Debugging: IDE breakpoints, watches, heap/thread snapshots (intro).
Why it matters: MNCs reward engineers who prevent regressions and communicate risks clearly.
Pick one realistic domain and build for it end-to-end:
Job Portal: multi-role (candidate/recruiter/admin), search & filters, insights, email notifications.
Banking Dashboard: accounts, transfers, statements, audit logs, JWT + RBAC, rate-limit at gateway.
LMS: courses, lessons, quizzes, progress, admin analytics, presigned URLs for media.
Deliverables recruiters love:
Live URL (AWS EC2) + health check route
Swagger/OpenAPI docs
Postman collection
README with diagrams, env-specific setup, seed users
90-second demo video walking through flows
Weekly backlogs, user stories, acceptance criteria.
Daily code-along labs, targeted assignments, and retrospective feedback.
PR etiquette, review comments, refactor passes, naming consistency, docs in code.
Learn what to change and why, not just “how to code it.”
Local Docker parity → staging (class infra) → AWS EC2 for final hosting.
Env-specific properties, secrets, and config separation like a real team.
Logging strategy from day one (not as an afterthought).
Health, readiness, and metrics endpoints wired before you “need” them.
Clean GitHub with pinned repos, tags, and releases.
Screenshots, ERDs, data flow, and API contracts in every README.
Short demo videos because interview time is tight.
When to use which collection, performance trade-offs, immutability, equals/hashCode pitfalls.
Idempotency of methods, 201 vs 200 vs 204, pagination strategy, JWT expiry/refresh, CSRF context.
Lazy vs eager, N+1 patterns, when to batch, optimistic vs pessimistic locking (high-level).
Where to draw boundaries, API versioning, error propagation, retries/timeouts/circuit breakers.
Rate limiting, caching layers, stateless vs stateful services, queues and async patterns (overview).
Dockerfile choices, multi-stage builds, artifact promotion, rollbacks, blue/green overview.
Clear explanation of decisions, handling conflict in reviews, debugging stories, ownership mindset.
Architecture & Code Quality (25%) - layering, SOLID practices, DTOs/mappers, exception strategy
Feature Completeness (25%) - auth flows, edge cases, validations, upload/download, admin screens
Testing (15%) - unit on core logic, integration on APIs, Postman suite
DevOps/Cloud (15%) - Dockerized app, CI pipeline, AWS deploy, health checks, logs
Docs & Demos (10%) - README, diagrams, Swagger, demo video
Professionalism (10%) - Git hygiene, commit messages, PR quality, issue tracking
Hit 80%+ on this rubric and you’re ready for most first-round tech screens.
Weeks 1–4: Core Java + console mini project
Weeks 5–7: Advanced Java (JDBC/Servlets/JSP) + library project
Weeks 8–13: Spring Boot + REST + Security + JPA performance + microservices intro
Weeks 14–16: React integration + token flows + tables and filters
Weeks 17–18: Data deep dive + migrations + performance passes
Weeks 19–21: DevOps & Cloud (Git, Docker, Jenkins, AWS, Nginx), deploy full stack
Weeks 22–24: Testing, logging, observability, hardening
Weeks 25–26: Capstone, docs, video, portfolio polish, mock interviews
(Weekend track? Extend each phase by ~20–30% without losing sequence.)
Homepage: one-line value (“Spring Boot + React + AWS | 3 deployed projects | JUnit/Mockito | CI/CD”).
Projects:
Microservice Employee Portal (live link) → features, roles, screenshots, Swagger URL, Postman collection, 90-sec demo.
E-Commerce Dashboard (live link) → data tables, filters, sorting, JWT login, reports.
HR Payroll (Monolith → Split) (live link) → show how you refactored to services and what improved.
About: concise bio; tools list; contact.
Docs: architecture diagram, ERD, sequence for key flows, performance notes.
This is the difference between “trained” and “hireable.”
Q1. I’m not from CS can I still clear MNC interviews?
Yes. The course is layered from fundamentals upward. What matters in MNC screens is clarity, correctness, and evidence not your degree title.
Q2. Do you cover Java 17/22 and Spring Boot 3?
Yes - language features, Spring Boot 3 conventions, and how they change the way you code.
Q3. Will I learn cloud and CI/CD or only coding?
You’ll implement Docker, CI pipelines, and AWS EC2/S3/RDS - and deploy your project with health checks and logs.
Q4. How many projects do I graduate with?
Typically 3 live projects + 1 capstone, all documented and demo-ready.
Q5. Is there placement support?
Yes - portfolio reviews, mock interviews, referrals, and hiring partner drives. We don’t promise outcomes we can’t control, but we do equip you to perform.
Project-first training: every module ends with proof.
Mentor code reviews: learn professional judgment, not just syntax.
DevOps habits: deploy early, measure often, document always.
Interview alignment: drills that mirror real MNC screens.
Portfolio packaging: so your work speaks before you do.
When a recruiter sees clean GitHub repos, running URLs, tests, Swagger docs, and a 90-second demo for each project, your shortlist odds multiply.
NareshIT’s Full Stack Java (2025 Edition) is more than a course; it’s a production-grade boot-up to how global teams work today:
Java 17/22 • Spring Boot 3 • Microservices • React 18 • SQL/NoSQL • Docker • Jenkins • AWS • JUnit/Mockito • Swagger • Postman • Nginx
What you leave with:
3–4 deployed projects
A portfolio that passes the sniff test
The language and habits of modern teams
Confidence for MNC interviews
Next steps:
View the detailed syllabus
Talk to a mentor about your background
Reserve a seat in the upcoming Hyderabad + Online batches
Build once. Reuse everywhere. Interview with evidence. That’s how you turn training into offers in 2025.
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