Java Full Stack
with AI
A comprehensive 1-year live training program for engineering graduates. Master Java backend, React frontend, cloud deployment, and AI integration — and walk into your first dev job with a real portfolio and industry-ready skills.
From Zero to Job-Ready Java Full Stack Developer
Most bootcamps teach you just enough to build a todo app. We train you the way a software company would onboard a new developer — with real tools, real deadlines, and real accountability. You'll graduate with a portfolio that proves you can do the job.
What You'll Learn — Module by Module
12 structured modules that take you from Java fundamentals to deploying AI-integrated full stack applications in production.
- Java 17+ syntax — variables, loops, arrays, methods
- Object-Oriented Programming — classes, inheritance, polymorphism
- Interfaces, abstract classes, generics & enums
- Exception handling, file I/O & streams
- Java Collections Framework — List, Map, Set, Queue
- Arrays, Strings, Linked Lists, Stacks, Queues
- Trees, Graphs, Heaps, Hash Maps
- Sorting, Searching & Recursion
- Dynamic Programming & Greedy Algorithms
- Interview-style problem solving with Java
- Relational database design & normalization
- MySQL — DDL, DML, Joins, Subqueries, Aggregations
- Indexing, transactions & ACID properties
- Stored procedures, views & query optimization
- Introduction to MongoDB for NoSQL use cases
- Spring Boot architecture — IoC, DI, auto-configuration
- Building RESTful APIs — controllers, services, repositories
- Spring Data JPA & Hibernate ORM
- API security with Spring Security & JWT
- Input validation, error handling & API documentation (Swagger)
- JavaScript ES6+ — arrow functions, destructuring, promises
- React fundamentals — components, props, state, hooks
- React Router, Context API & Redux basics
- Consuming REST APIs from React with Axios
- Building responsive UIs with Tailwind CSS
- Connecting React frontend to Spring Boot backend
- Authentication flows — login, registration, JWT tokens
- File uploads, pagination & search features
- Project 1: Full-stack web app (e.g. Job Portal / E-Commerce)
- Code reviews & live debugging sessions
- Monolith vs microservices — when and why
- Spring Cloud — Eureka, API Gateway, Config Server
- Inter-service communication — REST & Feign clients
- Message queues with RabbitMQ / Kafka basics
- Circuit breakers & resilience patterns
- Docker — containers, images, Dockerfile, Docker Compose
- AWS fundamentals — EC2, S3, RDS, IAM
- Deploying Spring Boot apps on EC2 & Elastic Beanstalk
- CI/CD pipelines with GitHub Actions
- Monitoring & logging with CloudWatch
- LLM fundamentals — how language models work
- OpenAI API integration from Java / Spring Boot
- LangChain4j — chains, memory, agents & tools
- Building RAG systems — document ingestion & vector search
- Prompt engineering best practices for production apps
- Build an AI-integrated application end-to-end
- Example: AI Resume Screener / Smart FAQ Bot / Document Analyzer
- Microservices architecture with one AI service
- Deployed on AWS with Docker and CI/CD pipeline
- Live demo, peer review & instructor feedback
- Scalability, Load Balancing, Caching (Redis)
- Database sharding, replication & consistency
- Designing real systems — URL shortener, chat, feed
- Low-level & high-level design with diagrams
- Practicing system design interview questions
- 3 full mock technical interview rounds with feedback
- HR round preparation — common questions & answers
- ATS-optimized resume & LinkedIn profile workshop
- GitHub portfolio setup — all projects hosted publicly
- Job search strategy — portals, referrals & cold outreach
Is This Program Right for You?
Built for engineering graduates who want to become job-ready full stack developers — not just learn syntax from YouTube.
- Basic understanding of any programming language (C, Java, Python)
- Fundamental math & logical reasoning ability
- A laptop with at least 8GB RAM and stable internet
- Commitment to attend live sessions and complete assignments
- Genuine drive to become a software developer
Learn From Someone Who Has Built It
Not a trainer who reads from slides — someone who has shipped production Java systems and led engineering teams at scale.
Venkat brings 18+ years of hands-on industry experience building large-scale Java applications, microservices platforms, and AI-integrated systems across leading product and enterprise companies. As a Senior Engineering Manager, he has led and mentored engineering teams, designed system architectures, and conducted hundreds of technical interviews.
He founded KanvGlobal Academy to give every engineering graduate access to the kind of real-world mentorship that used to be available only inside top tech companies — bridging the gap between what colleges teach and what the industry actually builds.
Frequently Asked Questions
Everything you need to know before enrolling.
Full Stack Developer?
Fill in your details and our team will call you back within 24 hours with batch schedule, fee details, and a free demo class invite.