ADVANCED JAVA, SPRING BOOT & AI INTEGRATION PROGRAM – BUILD SMART ENTERPRISE APPLICATIONS

The Advanced Java, Spring Boot & AI Integration Program is tailored for modern backend developers who want to go beyond traditional Java. This course bridges enterprise application development with next-gen AI capabilities. You’ll master core and advanced Java concepts, Spring Boot for rapid backend creation, and Microservices for scalable architecture — while also learning how to integrate powerful AI APIs like OpenAI into your applications. Whether it’s smart search, recommendation engines, or intelligent chat interfaces, this program equips you to build real-world, production-grade systems that are AI-ready and cloud-deployable. Ideal for both professionals and freshers aiming to thrive in today’s backend and AI-driven tech landscape.

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Program Overview

This program is crafted for backend developers, software engineers, and computer science graduates who want to master enterprise-grade Java development using Spring Boot, Microservices, and modern AI integrations. You’ll gain a deep understanding of Java 17+, Spring Core, REST API development, Microservices architecture, and build intelligent features using AI APIs, OpenAI integration, and machine learning models. The course blends structured theory with project-based learning to help you build production-ready, AI-enhanced applications.

Key Features

  • Java 17+ and Spring Boot 3.0 focused
  • Build and deploy real-time REST APIs and AI-backed services
  • AI integration using OpenAI APIs & local ML models
  • Hands-on Microservices architecture & Docker deployment
  • MongoDB, MySQL, and Hibernate integration
  • Resume and GitHub profile building sessions

Curriculum / Modules

Module 1: Core Java Refresher (Java 8 to 17)

  • OOPs principles, Lambda expressions
  • Streams API, Functional interfaces
  • Exception handling and Collections

Module 2: Spring Framework Core

  • Dependency Injection and Beans
  • Spring Annotations and Configuration
  • Spring AOP and MVC overview

Module 3: Spring Boot Essentials

  • Spring Boot setup and Auto-configuration
  • REST Controllers and API development
  • Spring Boot Actuator and DevTools

Module 4: Data Persistence Layer

  • Spring Data JPA with Hibernate
  • Repository pattern and queries
  • MySQL and MongoDB integration

Module 5: Security and Authentication

  • Spring Security basics
  • JWT Authentication
  • Role-based access control

Module 6: Microservices Architecture

  • Designing Microservices with Spring Cloud
  • Service Discovery with Eureka
  • API Gateway and Load Balancing
  • Centralized Configuration with Config Server

Module 7: DevOps and CI/CD Basics

  • Git, GitHub actions, Maven
  • Dockerize your Spring Boot application
  • Deployment strategies

Module 8: AI & Java Integration

  • Introduction to AI and ML Concepts
  • RESTful integration with OpenAI API
  • Generating intelligent responses using GPT APIs
  • Local ML model integration with Java
  • AI-enhanced search, recommendation, and chatbot features

Module 9: Final Project

  • Build a complete AI-powered microservices application
  • Deploy using Docker
    Showcase project on GitHub

Program Fee
₹ 14,999/- 19,999/-

This Course Includes

  • Eligibility: More than 2 years of experience
  • 2 Months of Live Training
  • 2 Capstone Projects
  • Interview Preparation
  • Resume Building
  • Project Explanation
  • LIVE Sessions will get Recorded & Shared
  • Support via Email
Refer your Friends get 10% off.

Program Highlights

  • Build job-ready Spring Boot microservices
  • Integrate AI APIs like OpenAI into backend systems
  • Create smart features such as auto-responders, recommendations
  • Deploy backend using Docker and monitor APIs
  • Resume & GitHub support for backend + AI developers
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Skills You'll Acquire:

Java 17 Programming

Spring Boot API Development

RESTful Web Services

JWT and OAuth2 Authentication

Microservices & Cloud Native Apps

Hibernate, MySQL, MongoDB

AI Integration with Java

API-based Machine Learning Features

Tools You'll Learn:

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Our Expert Trainers

  • Senior backend developers with enterprise experience
  • Experts in Spring Boot, Docker, and OpenAI APIs

Our Project Work

This section will showcase hands-on projects that integrate the technologies covered in this course:

  • Build a REST API with Spring Boot
  • Integrate OpenAI/LLM for intelligent endpoints
  • Containerize and deploy with Docker

Who May Apply

  • Java devs wanting to learn microservices and API integration
  • Professionals shifting from legacy Java to modern frameworks

Industry Trends

Annual Salary

₹7–13 LPA (avg.)

Companies Hiring

Infosys, TCS, Accenture, Zoho, ThoughtWorks

Demand

AI + Java integration booming in enterprise SaaS

Market Growth

20% CAGR in intelligent backend automation

Market value

Spring Boot AI apps projected to $18B market

Job Growth

22% YoY in hybrid AI backend roles

FAQ'S

Anyone interested in backend development using Java and Spring Boot, including professionals, freshers, and upskillers.

Basic familiarity with Java is helpful, but we start with a Core Java refresher.

Yes, we cover setup, API development, and all essentials in detail.

Yes. You’ll deploy Spring Boot apps using Docker.

Yes. All projects are built from the ground up with hands-on guidance.

You’ll build microservices using Spring Cloud, Eureka, and API Gateway.

Yes. With examples using MySQL, MongoDB, and Spring Data JPA.

Yes. We review code during sessions and help build your GitHub profile.

All sessions are recorded and shared.

Definitely. We prepare you for backend and AI-related roles.

Yes, as long as you are committed to learning consistently.

Most are live with recordings available after.

Yes. The final project and GitHub work are portfolio-ready.

Absolutely. It’s tailored for backend and full-stack engineers.

Yes. You’ll get lifetime access to session recordings.

Through the Slack community and instructor Q&A.

Yes, especially for Microservices and modern deployments.

Yes. REST APIs, OpenAI, and local ML endpoints are covered.

You’ll call AI APIs, build smart features, and use ML endpoints.

Yes. Integration with GPT APIs is a core part of the AI module.

No. All AI concepts are introduced from scratch.

Yes. The final project includes AI-powered features.

Yes. The features mimic production-grade implementations.

Yes. We show how to connect Java with Python ML APIs.

Yes. Dedicated sessions help you build a professional profile.