Job Roles For Full Stack Java Developer with Gen AI Training
Java Full Stack Developer
Senior Java Full Stack Developer
Backend Java Developer
Java Microservices Developer
Java Application Developer
Full Stack Engineer (Java + Frontend)
Java Spring Boot Developer
Java Cloud Developer
Full Stack Java Developer with Generative AI
Course Description
This program prepares learners to become industry-ready Full Stack Java Developers with strong Generative AI-assisted development skills. You will master Core Java, Spring Boot, Microservices, React, Databases, DevOps tools, and Cloud deployment, while leveraging Generative AI (LLMs, code copilots, automation tools) to accelerate coding, debugging, documentation, and app enhancement. By the end, learners build and deploy a complete full-stack application integrated with real-world AI-driven features.
What you'll learn
Master Java, Spring Boot, Microservices, React, SQL/NoSQL
- Learn full lifecycle development — backend, frontend, databases, DevOps & cloud
- Integrate Generative AI into development workflows for faster coding & smart automation
- Hands-on learning with live projects, coding challenges & real-time debugging
- Build a full-stack application with AI features (chatbot, search, summarizer, recommender)
- Learn modern deployment using Docker, CI/CD & Cloud (AWS/Azure/GCP)
- Industry-focused curriculum designed for high-demand Full Stack + AI roles
Comprehensive Syllabus to Make You Industry-Ready with Hands-On Practice
Curriculum
Week 1 - Java Fundamentals + AI-Assisted Learning
- Java syntax, variables, data types
- Operators, conditions, loops
- AI for: code explanations, rewriting logic, generating examples
Week 2 - OOP Concepts + AI Code Generation Learning
- Classes, objects, constructors
- Inheritance, polymorphism, abstraction, encapsulation
- AI for: auto-generating class structures, UML → Java code
Week 3 - Exception Handling, Collections, Java 8 Features
- Exception hierarchy & custom exceptions
- Collections Framework (List, Set, Map)
- Java 8 Lambdas, Streams
- AI for: optimizing Java code, refactoring Collections/Lambdas
Week 4 - File Handling, Multithreading, Design Patterns
- Java I/O, serialization
- Threads, executors
- Factory, Singleton, Builder patterns
- AI for: detecting anti-patterns and suggesting improvements
Week 5 - Spring Boot Essentials + AI-Assisted API Building
- Spring Boot architecture
- Creating REST APIs
- Using AI for: skeleton API generation, Swagger documentation
Week 6 - Spring MVC, Dependency Injection, Security Basics
- Controllers, services, repositories
- Spring Security Intro
- AI for: generating secure authentication/authorization layers
Week 7 - JPA & Hibernate + AI Query Optimization
- Entity mapping, CRUD, relationships
- JPQL & dynamic queries
- AI for: optimizing queries, fixing ORM errors
Week 8 - Microservices + Generative AI Workflow Automation
- Microservices architecture
- API Gateway, Config Server, Eureka, Load Balancer
- AI for: designing microservice diagrams, generating configs
Week 9 - HTML5, CSS3, Responsive UI
- Layouts, Flexbox, Grid
- Forms, validations
- AI for: UI generation prompts, responsive design suggestions
Week 10 - JavaScript & ES6
- DOM Manipulation
- Promises, Async/Await
- AI for: debugging JS errors, code conversion JS ↔ Java
Week 11 - React Fundamentals
- Components, props, state
- React Hooks (useState, useEffect)
- AI for: generating components, boilerplates, UI logic
Week 12 - React Advanced
- Routing, Context API
- Integrating Java REST APIs with React
- AI for: API integration templates, reusable UI patterns
Week 13 - SQL & NoSQL Databases
- MySQL: Joins, Stored Procedures
- MongoDB basics
- AI for: generating complex SQL queries, performance tuning
Week 14 - DevOps for Full Stack
- Git/GitHub
- CI/CD Basics
- Docker containerization
- AI for: pipeline configuration, Docker file optimization
Week 15 - Cloud Deployment (AWS / Azure / GCP)
- Deploy Spring Boot Apps
- Deploy React Apps
- AI for: cloud architecture diagram generation
Week 16 - Generative AI for Full Stack Development
- Using LLMs for:
- Code scaffolding
- Debugging
- Unit test generation
- API documentation
- Integrating Generative AI in applications:
- ChatGPT API
- LangChain for Java
- AI-enhanced search & Q&A features
- AI-driven monitoring, alerts, code review
Capstone Project (Built Throughout the 4 Months)
💡 Build a Full Stack Java + React Application with AI Integration, including:
- ✔ Spring Boot microservices
- ✔ React UI
- ✔ SQL + NoSQL
- ✔ Docker deployment
- ✔ Generative AI module (Chatbot / AI Search / Summarizer / Recommendation Engine)
- ✔ Cloud Deployment
🚀 Final Outcome — You Will Be Able To:
✔ Build enterprise-grade Spring Boot apps✔ Build React frontends
✔ Work with SQL & NoSQL
✔ Deploy full-stack apps using Docker & Cloud
✔ Use Generative AI to speed up development
✔ Integrate AI features inside full-stack applications
✔ Become industry-ready as a Full Stack Java + AI Engineer
Program Highlights in Full Stack Java Developer Gen AI Course
Each Feature Strengthens the Career You’ve Always Dreamed Of.



Valaxy's Full Stack Java Developer Gen AI course delivers industry-relevant training with expert mentors, letting learners build hands-on experience on the tools used by modern data teams.
Tools & Technologies You will Master in Full Stack Java Developer Training with Gen AI
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Get hands-on internship with globally recognized certificates.
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Next Batch Starts On
10 Dec 2025
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Industry-Recognized Global Certifications
Elite Master Certification in Full Stack Java Developer Training with Gen AI
Our Elite Java Full Stack Developer Master Certification Program, enriched with comprehensive training in Core Java, Spring Boot, Microservices, REST APIs, Hibernate, React/Angular, SQL & NoSQL databases, and full-stack application deployment, equips you to achieve the ultimate goal—becoming an industry-ready Java Full Stack Developer. But that’s not all. Alongside the Master Certification, you’ll receive module-wise completion certificates as you successfully clear each checkpoint, provided you meet our assessment standards. And yes—with our expert-led sessions, hands-on projects, and interview-focused guidance, you can confidently clear the Java Full Stack Developer Certification Exam and excel in real-world interviews. Inquire now to learn more about the Java Full Stack Developer Master Certification Program and start your journey to full-stack mastery!
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Other Certification in Data Science & Analytics with AI
But that’s not all. Alongside the Master Certification, you’ll receive 25 course module completion certificates as you successfully clear each checkpoint, provided you meet our assessment standards. And yes—you can confidently clear the Certification Exam with our expert guidance. Inquire now to learn more about the DevOps with AWS (Gen AI) Certification Course and start your journey to mastery!
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Master Certification in Data Science & Analytics with AI
Our Master Data Science & Analytics with AI Certification Course along with a broad knowledge of Analytics and AI prepares you for the heavyweight title– Data Scientist. However, it does not end here, along with the Master Data Science & Analytics with AI Certification, you shall be given a 15-course module completion certificate at every check-point clearance if you effectively meet the Itvedant® Assessment Standards. And yes, did you know you can easily clear the Microsoft Certification Exam with our guidance? Inquire Now to know more about our Data Science & Analytics with AI Certification Course.
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Work-Ready Internship



