Java Programming Language — Beginner to Advanced
Comprehensive Java training covering core language, modern Java features, JVM internals, concurrency, Spring ecosystem, microservices, cloud-native deployment, and performance engineering. Select a learning path: Full-Stack, Systems & Performance, or Comprehensive.
Program at a glance
- • Java SE fundamentals, OOP, Streams, Modules, and modern features (var, records, pattern matching)
- • JVM internals, GC tuning, JIT, classloading and memory model
- • Spring Boot, Spring Cloud, Spring Security, and microservices patterns
- • Concurrency, reactive programming (Project Reactor), and distributed systems
Overview
This course is designed for developers of all levels who want a practical, production-focused understanding of Java — from writing clean and idiomatic Java code to architecting and operating large-scale Java services. Choose a focused path or take the comprehensive route to master everything end-to-end.
Who should join
Junior to senior developers, backend engineers, platform engineers, and architects aiming to build or operate Java-based systems.
What you'll deliver
Deployable microservices, performance tuning reports, secure APIs, CI/CD pipelines, and production-grade Java code in your portfolio.
Pre-reqs
Basic programming knowledge recommended. No prior Java required for beginner modules — advanced modules assume Java SE familiarity.
Choose Your Path
Select the learning track that fits your goals. Each path includes modules, labs, and a capstone project. The Comprehensive path bundles all modules and provides the deepest mastery.
Path A — Full-Stack Java Developer
Java SE → Spring Boot → REST APIs → JPA/Hibernate → Testing → Microservices → CI/CD → Cloud deployment
- Signature Lab: Spring Boot microservice with JWT auth
- Delivery: Docker + GitHub Actions + AWS/GCP deploy
Path B — Systems & Performance
JVM internals → Memory model → GC tuning → Concurrency → Profiling → Low-latency patterns
- Signature Lab: JVM profiling + GC tuning report
- Delivery: Benchmarking, perf tools, flame graphs
Path C — Comprehensive (A + B + Advanced)
Everything in Paths A & B plus Spring Cloud, Kafka, reactive streams, security, observability, and distributed systems design.
- Signature Lab: Banking microservice ecosystem with Kafka and distributed tracing
- Delivery: Multi-service CI/CD, Kubernetes deployment, SLOs and monitoring
Curriculum — Module Breakdown
Modular content — each module contains lessons, hands-on labs, quizzes, and readings. Below is a consolidated module list; path-specific sequencing will be provided in the syllabus.
Core Java & Language Features
- Java syntax, OOP, packages, modules (JPMS)
- Generics, Collections, Streams API, Optionals
- Records, Sealed types, Pattern matching, Local variable type inference
- Exception handling, logging, and functional idioms
JVM & Tooling
- JVM architecture, classloading, bytecode basics
- Garbage collectors (G1, ZGC, Shenandoah) and tuning
- Maven/Gradle, JUnit5, build pipelines, and IDE proficiencies
- JFR, async-profiler, jmap/jstack, and memory analysis
Concurrency & Reactive
- Threads, Executors, CompletableFuture, ForkJoinPool
- Synchronization, atomics, memory model and visibility
- Reactive programming with Project Reactor and WebFlux
- Backpressure, non-blocking IO, and reactive streams
Spring Ecosystem & Microservices
- Spring Boot, Spring MVC, Data, Security
- Spring Cloud patterns: service discovery, config, circuit breakers
- API design, REST, GraphQL, OpenAPI and contract testing
- Testing: unit, integration, and contract tests
Distributed Systems & Messaging
- Event-driven design, Kafka fundamentals, CDC patterns
- Idempotency, exactly-once vs at-least-once, Kafka Streams
- Distributed tracing (OpenTelemetry), correlation ids, and observability
Security, Observability & SRE Practices
- OAuth2/OIDC, JWT, secure coding practices
- Logging best practices, structured logs, metrics and alerts
- SLOs, error budgets, incident response and runbooks
Performance & Optimization
- Benchmarking, microbenchmarks (JMH)
- Heap/GC tuning, warmup/JIT considerations
- Connection pooling, caching patterns, and latency reduction
Cloud Native Deployment
- Containerization (Docker), Kubernetes basics, Helm
- CI/CD with GitHub Actions / Jenkins, image scanning, secrets
- Service mesh intro (Istio/Linkerd) and blue/green deployments
Signature Projects & Capstones
Hands-on deliverables that demonstrate production-readiness and deep understanding across the Java stack.
Microservices Ecosystem (Capstone)
Build a set of Spring Boot services (user, orders, inventory), eventing with Kafka, API gateway, distributed tracing, and CI/CD to Kubernetes. Includes security and SLO definitions.
JVM Performance Audit
Profile a JVM service under load, analyze GC logs, generate flame graphs, propose and validate tuning changes and show before/after benchmarks.
Reactive Pipeline & Backpressure Lab
Implement a reactive data ingestion pipeline with Reactor and Kafka, demonstrate backpressure handling, and measure throughput/latency.
Secure API + Contract Testing
Design secure REST APIs, implement OAuth2-based auth, and use contract tests (Pact or Spring Contract) to validate integrations.
Deliverables & Certification
- Project repositories with CI/CD, Dockerfiles, Helm charts, and deployment guides
- JVM performance reports, benchmark results, and tuning notes
- Security checklist, contract test artifacts, and observability dashboards
- Yukti Certified Java Engineer badge and detailed transcript
Pricing & Delivery Options
Path A — Full-Stack
8–10 week instructor-led or self-paced variant. Projects, labs and mentor sessions included.
Path B — Systems & Performance
6–8 week focused program with profiling labs, tooling and deep-dive sessions.
Path C — Comprehensive
12–16 week complete mastery bundle (discounted vs buying paths separately). Includes extended mentorship and enterprise-ready capstone support.
Enroll / Request Brochure
Select a path and share your details — we’ll send a tailored syllabus, cohort dates, and enterprise pricing.