JAVA DEVELOPMENT & AI APPLICATIONS
EDUCORA CAREER PROGRAMAI-Powered Java Full Stack Development
Build and test Java applications with Spring Boot, React and PostgreSQL, and integrate AI features using Spring AI.
3 months training + 3 months internship
BUILD PRACTICAL SKILLS
Build enterprise-style applications with Java.
This beginner-to-intermediate career program follows the full product development workflow: user requirements, accessible frontends, object-oriented Java backends, relational database design, secure APIs, software quality, cloud deployment and practical AI integration.
The technical focus is Core Java, Spring Boot, Spring Data JPA, PostgreSQL, React, REST APIs, Spring Security basics, Git, testing, Docker foundations and responsible use of Spring AI and LLM APIs. Microservices and RAG are taught as introductory concepts, not advanced specializations.
API Spring Boot services
DATA PostgreSQL
AI Spring AI integrations
Illustrative learning project · program-specific practical work
A CLEAR LEARNING PATH
More than a list of topics
Develop practical skills, demonstrate your work and apply your learning during a company internship.
Learn the foundations
Follow a structured technical curriculum with progressive practical tasks.
Build and demonstrate
Develop projects, document your work and present your learning.
Work with AI responsibly
Use AI assistance while checking accuracy, privacy and limitations.
Apply your skills
Complete an actual three-month company internship after training.
FIND YOUR STARTING POINT
Who can join this program?
Review the audience and prerequisites to see how the program fits your background.
Final-year students and graduates from BCA, B.Sc. CS/IT, BE/B.Tech, MCA and related streams.
Freshers aiming for junior Java developer, backend developer or full stack developer roles.
Learners from other streams willing to complete intensive Java programming fundamentals.
Early-career professionals seeking a Spring Boot, React and AI-integrated application portfolio.
Prerequisites and equipment
- Basic computer operation, internet browsing and ability to install development software.
- Logical reasoning and basic English reading skills; prior Java experience is not mandatory.
- Willingness to practice Java programming, solve problems and submit weekly assignments.
- Laptop with at least 8 GB RAM (16 GB recommended), reliable internet, JDK, IDE and database tools.
- Basic familiarity with websites is useful; programming readiness exercises may be provided.
FROM LEARNING TO APPLICATION
Your learning journey
Core Java & SQL
Build the foundations.
Spring Boot & React
Practise with real tasks.
Spring AI
Demonstrate your work.
Company internship
Apply your learning in a company.
THE COMPLETE SYLLABUS
A structured curriculum
Three months of technical training with a progressive learning sequence, practical exercises and project reviews.
Expand each section to see the topics and practical outcome. Introductory tool coverage is identified within the syllabus.
Ask About This ProgramWeek 1 — Web Basics, Git & Java Foundations
How web applications work; HTML5, CSS fundamentals, responsive layout, Git/GitHub workflow; install JDK and IntelliJ/Eclipse; Java syntax, variables, types, operators and I/O.
Practice outcome: Build a responsive page and run a version-controlled Java console program.
Week 2 — Object-Oriented Java & Collections
Classes, objects, constructors, encapsulation, inheritance, polymorphism, interfaces, exceptions, collections, generics, streams and lambda fundamentals.
Practice outcome: Implement a modular Java application with input validation and tests.
Week 3 — SQL, PostgreSQL & Data Modeling
Relational data concepts, ER diagrams, primary/foreign keys, CRUD, filtering, joins, aggregation, constraints, indexes and normalized schema design.
Practice outcome: Design and query a relational dataset for a business use case.
Week 4 — JavaScript, React & TypeScript Overview
JavaScript essentials, DOM, promises, HTTP/fetch; React components, JSX, props, state, hooks, forms, routing and TypeScript basics; accessibility principles.
Practice outcome: Create a React interface consuming a sample REST API.
Week 5 — Spring Boot & REST API Fundamentals
Spring framework concepts, dependency injection, Spring Boot starters, controllers, request/response models, REST conventions, validation, exception handling and Postman.
Practice outcome: Create and document a CRUD API in Spring Boot.
Week 6 — Spring Data JPA & Database Integration
JPA entities, Hibernate ORM concepts, repositories, service layers, transactions, DTO mapping, database migrations, environment settings and query performance basics.
Practice outcome: Persist and retrieve application data securely through a layered backend.
Week 7 — Application Security & React Integration
Spring Security introduction, password hashing, authentication and authorization, role-based access, CORS, OWASP awareness, frontend login forms and protected routes.
Practice outcome: Build a role-aware Java and React application with authenticated users.
Week 8 — Testing, Dev Workflow & Deployment
JUnit 5, Mockito fundamentals, integration test concepts, Maven/Gradle, Git workflows, CI basics, Docker introduction, configuration, logging and cloud deployment basics.
Practice outcome: Test and deploy a working Java full stack app with README and test checklist.
Week 9 — Spring Boot Architecture & Microservices Basics
Layered architecture, REST integration, pagination and caching concepts, service boundaries, synchronous communication, resilience and observability basics; monolith versus microservices trade-offs.
Practice outcome: Refactor one feature into a well-structured service with documented APIs.
Week 10 — Generative AI with Java & Spring AI
LLM fundamentals; Spring AI basics; prompt templates, AI model API integration, structured output, cost limits, privacy, hallucination risks and prompt injection defenses.
Practice outcome: Add a validated AI assistant or summarization feature to a Java application.
Week 11 — Retrieval-Augmented AI & Quality Checks
Embeddings, chunking and vector search concepts; introductory RAG workflow, retrieval quality, citations, guardrails, AI-assisted unit test drafting and code review.
Practice outcome: Create a small source-grounded document search proof of concept.
Week 12 — Java Full Stack Capstone & Internship Readiness
Plan, implement and demonstrate a complete React + Spring Boot + PostgreSQL application with authentication, tests, deployment, documentation and optional AI integration; technical mock interviews.
Practice outcome: Present a working deployed application with GitHub repository, demo and project report.
MAKE YOUR LEARNING VISIBLE
Projects and portfolio
Turn the syllabus into practical work you can explain, demonstrate and discuss in interviews.
Java application
Apply object-oriented programming, validation and tests.
Spring Boot REST API
Build layered services, data access and documented endpoints.
React + Java application
Connect authenticated interfaces with a PostgreSQL backend.
Java full stack capstone
Deploy, test and present an application with optional AI integration.
Skills you will practise
- Create accessible, responsive React interfaces and consume APIs with JavaScript.
- Use Java OOP, Collections, exceptions and basic concurrency awareness to solve programming problems.
- Build and test Spring Boot REST APIs with validation and layered architecture.
- Design PostgreSQL schemas and integrate data through Spring Data JPA and Hibernate.
- Implement authentication/authorization basics and deploy a Java full stack application.
- Integrate LLM APIs through Java/Spring AI; assess basic RAG and AI output reliability.
- Use Git, JUnit, debugging, code review, documentation and professional demonstrations.
AFTER COMPLETING TRAINING
An actual 3-month company internship
Apply your technical learning through supervised company work. The internship follows the three-month training phase.
Month 4: Java API Delivery
Turn requirements into Spring Boot services; implement REST endpoints, validation, database access and unit tests; participate in reviews.
Work evidence: User stories, commits, API documentation, unit tests and mentor feedback.
Month 5: React Integration & QA
Build React components, connect APIs, implement auth flows, resolve defects and develop reports or AI feature prototypes.
Work evidence: Integrated application, issue log, code review and weekly check-ins.
Month 6: Deployment & Handover
Complete a scoped Java/React product feature, improve tests, deploy in approved environment, document and demonstrate results.
Work evidence: Deployment evidence, README, final demo and supervisor evaluation.
Internship documentation reflects the actual period and activities completed. Enquire about company arrangements, work mode, timings and any applicable stipend.
PREPARE FOR YOUR NEXT STEP
Career opportunities
Build skills to apply for entry-level opportunities aligned with this program.
Career opportunities depend on skills, available openings and employer selection. Employment is not guaranteed.
PRESENT YOUR WORK WITH CONFIDENCE
Career preparation
Project presentation
Explain your approach, demonstrate your work and discuss technical choices.
Portfolio documentation
Organise project files, reports or repositories to show what you have built.
Interview readiness
Practise technical discussions and interview exercises included in the program.
Assessment includes practical assignments, project demonstrations and feedback. Training completion and internship participation are documented separately.
YOUR QUESTIONS, ANSWERED
Frequently asked questions
What is the program duration?
Six months: three months of training followed by three months of internship.
Is this an actual company internship?
Yes. Educora offers an actual three-month company internship after completion of training.
Is this suitable for someone new to Java?
Yes. The course begins with Java fundamentals. Regular independent coding practice and weekly assignments are important.
Will students learn both Java and React?
Yes. Java and Spring Boot are the primary backend technologies, with React for the frontend and PostgreSQL for data storage.
How is AI covered?
The curriculum introduces Spring AI, LLM API integration, output verification and retrieval-augmented generation concepts.
What are the fees and batch timings?
Contact Educora for current fees, upcoming batches, delivery mode and class timings.
Is the internship paid?
Please enquire about any applicable stipend and the specific internship arrangements.
Is placement guaranteed?
No. Portfolio guidance, interview readiness and career support do not guarantee employment.
LET’S DISCUSS YOUR GOALS
Choose your next step with Educora.
Ask about eligibility, the syllabus, fees, upcoming batches and the company internship.