Master AI Powered Java Fullstack – From Basics to Advanced with AI Integration

Learn Core Java, SQL, JDBC, Hibernate, Spring Boot, Microservices, Frontend (HTML, CSS, JavaScript, React), and AI integration with Spring AI. Beginner-friendly, bilingual training (Telugu + English) with hands-on projects, resume prep, and placement support.

No Coding Experience Required

100% Telugu Training

Live Projects

Placement Support

Massive Demand. Massive Opportunities

Hiring Demand

Java Fullstack Developers are among the top 3 most in-demand roles in IT with AI skills skyrocketing demand further.

Salary Growth

Freshers earn ₹4–7 LPA, while experienced AI-powered Fullstack Developers can reach ₹12–25 LPA.

Career Roles

Java Fullstack Developer, Backend Engineer, Frontend Developer, AI Integration Specialist, Spring Boot Developer.

Future-Proof Skills

Learn both traditional fullstack (Java + React) and AI-powered development with Spring AI and OpenAI APIs.

Global Opportunities

High demand in FinTech, E-commerce, Healthcare, SaaS, and AI startups worldwide.

Real Projects

Work on AI Chatbots, E-Commerce, Finance Systems, Web Apps, and Spring Boot + AI integrations.

Companies hiring Java Fullstack Developers

We Understand Your Struggles – And We’ve Solved Them!

Career Confusion

Coding Fear

Too Many Tools

Interview Stress

No Portfolio

What Makes This Course Different

👉 Module Wise Quizzes, Assignments, and Practice Questions

👉 100% Placement assistance

👉 Industry professionals with 10+ years of experience

👉 Live Chat support assistance

👉 Access to session recordings for 2 years

👉 EMI Option also available with specified cards

👉 Get ₹10,000 Worth of Free Career Booster Add-On Sessions, Only from FLM

👉 Dedicated Job Updates

👉 100% Live Training in Telugu

👉 Industry Ready Training

👉 Interview Questions & Study Materials

👉 Resume & Linked In Preparation

Course Syllabus

  • History and Features of Java

  • JDK, JRE, JVM

  • Setting Up Java Environment and Eclipse

  • Structure of a Java Project

  • Creating First Java Project

  • Command Line Arguments

  • Primitive Data Types

  • Types of Variables

  • Naming Conventions

  • Operators

  • Control Statements

  • Loops

  • Continue and Break Statements

  • Type Casting

  • String

  • Arrays

  • Methods in Java

  • Class and Object

  • Constructor & Constructor Chaining

  • Static Keyword

  • Inheritance

  • This vs Super

  • Polymorphism

  • Abstraction

  • Encapsulation

  • Access Modifiers

  • Interfaces

  • Garbage Collection

  • File Handling

  • Final Keyword & Final vs Finalize

  • Exception Handling (Types, Try-Catch-Finally, Throw vs Throws, Custom Exceptions)

  • Features of java.lang Package

  • Object Class, System Class, Math Class

  • Wrapper Classes

  • String Buffer vs String Builder

  • What is a Thread in Java

  • Thread Lifecycle & Advantages

  • Creating Threads (Runnable & Thread Class)

  • Synchronized Keyword

  • Java Collections (Overview, List, Set, Map, Implementations)

  • Comparator and Comparable Interfaces

  • Java 8 Features: Lambda Expression, Functional Interfaces, Stream API, Stream Filter

  • Interface Changes (Default & Static Methods)

  • forEach Method, Optional Classes, Date and Time API

  • Structured Query Language (SQL): RDBMS, DDL, DML, DQL, DCL, TCL

  • Commit and Rollback

  • Constraints (Unique, Not Null, Primary, Foreign Key)

  • Aggregate Functions (MIN, MAX, AVG, SUM, COUNT)

  • Joins

  • NoSQL (MongoDB Setup, SQL vs NoSQL, CRUD on Databases & Collections)

  • JDBC (Driver Manager, Connection, Statement, PreparedStatement, ResultSet, Metadata, CRUD Operations)

  • Hibernate Introduction & ORM Concepts

  • JDBC vs Hibernate

  • Hibernate Core: Configurations, Entity Classes, Annotations, Cascade Types

  • SessionFactory, Session, CRUD, Transactions

  • Hibernate Relationships (One-to-One, One-to-Many, Many-to-Many)

  • Eager vs Lazy Loading

  • Advanced Hibernate: HQL, Native Queries, Named Queries

  • Building Dynamic Web Applications

  • Setting Up Tomcat Server

  • Initializing a Servlet

  • Servlet Life Cycle, doPost & doGet

  • JSPs (Overview, Directives, Expressions)

  • Using JSPs with Servlets

  • Introduction to Spring & Modules

  • Spring Core: Beans, Containers, IOC & DI, Bean Lifecycle, Scopes

  • Configurations (XML, Java, Annotations)

  • Spring JDBC (Data Source, Template, CRUD, RowMapper)

  • Spring ORM (Hibernate Integration, HibernateTemplate CRUD)

  • Spring MVC (Dispatcher Servlet, Controllers, Model & View, View Resolver, JSP Integration)

  • Spring AOP (Join Points, Point Cuts, Advice, Logging with AOP)

  • Introduction, Features & Advantages

  • Spring vs Spring Boot

  • Auto Configuration, Starter Projects

  • application.properties & application.yml

  • Spring Boot Starters & Annotations

  • Rest APIs: RestController, HTTP Methods, ResponseEntity, Thymeleaf

  • Spring Data JPA (CRUD, Finder Methods, JPQL, Custom Queries, @Transactional)

  • Exception Handling (ControllerAdvice, Exception Handlers)

  • Spring Boot Actuator (Metrics, Exposure Levels)

  • Spring Security (Authentication, Authorization, Form Login, UserDetails Manager, JWT)

  • Overview of Spring AI

  • Models & AI Use Cases in Spring Apps

  • Setting Up Spring Boot Project with AI

  • Using OpenAI API, LLMs, Chatbots

  • Prompt Templates in Spring AI

  • Generating Images with DALL·E

  • Microservices Intro: Monolithic vs Microservices

  • Architecture, Advantages & Challenges

  • Service Discovery (Eureka Server, Registering Services)

  • Inter-Service Communication (Sync & Async, RestTemplate, Feign Client)

  • Config Server (In-Memory, GitHub)

  • API Gateway (Setup, Routing, Fallback with Resilience4j)

  • Circuit Breaker Concepts

  • Git Environment Setup

  • Version Control Basics

  • Stages in Git, Cloning Repos

  • Commit History, Branching

  • Pull Requests, Reviewing & Merging

  • Resolving Merge Conflicts

  • HTML: Internet Basics, Tags, Forms, Semantic Tags

  • CSS: Syntax, Styling, Box Model, Flexbox, Grid, Animations, Responsive Design, Bootstrap

  • JavaScript: Basics, Variables, Loops, Functions, Arrays, Objects, DOM Manipulation, Events, Storage

  • OOP in JS: Classes, Inheritance

  • Asynchronous JS: Callbacks, Promises, Async/Await, Error Handling

  • React: Components, Virtual DOM, JSX, Styling, State, Props, Hooks (useState), Conditional Rendering, Routing

Real Projects You'll Build

Automation Deployment Using Jenkins

Build code using Maven, scan with SonarQube, store artifacts in Nexus, and deploy on Tomcat.

Microservices Deployment with Jenkins & Docker

can code with SonarQube, build Docker image, scan with Trivy, and deploy using Docker pipelines.

Monolithic Project Using Terraform & Ansible

Create infrastructure using Terraform and deploy application by automating configurations with Ansible and Jenkins.

CI/CD Using Ansible & Jenkins

Use Ansible playbooks to install Tomcat and deploy applications through Jenkins integration and automation.

CI/CD Pipeline Using AWS CodePipeline

Automatically build and deploy code on AWS when developers push changes to the central GitHub repository.

3-Tier Application Deployment Using Docker Compose

Deploy a Java-based 3-tier app with Jenkins automation and monitor performance using Datadog dashboards.

3-Tier High Availability Deployment on AWS Cloud

Deploy Node.js application using AWS EC2, subnets, load balancers, and auto scaling groups for HA.

Blood Bank Application on Kubernetes (KOPS)

Deploy 3-tier application with high availability and monitor Kubernetes resources using Prometheus and Grafana.

E-commerce App Deployment on AWS EKS Cluster

Deploy and manage an e-commerce app on EKS with Jenkins pipelines and resource monitoring enabled.

Python App Deployment Using ArgoCD & GitOps

Deploy Python app on Kubernetes using GitOps approach with ArgoCD, Helm, and high availability setup.

Full Stack App Deployment: Local to Production

Deploy React + MongoDB app using Docker, Kubernetes, Terraform, Jenkins, and monitor with Slack & ArgoCD.

Watch the Demo of Our AI Powered Java Fullstack Course in Telugu to Get a Preview of the Topics Covered.

Success Stories

From Non-Tech to Data Scientist at TCS - ₹12 LPA
Priya
Hyderabad
Got ML Engineer role at Infosys - ₹15 LPA
Rajesh
Vizag
Started AI consulting business - ₹50K/month
Meera
Vijayawada
From Non-Tech to Data Scientist at TCS - ₹12 LPA
Priya
Khammam

Career Paths After Course

Freshers

  • Java Fullstack Developer (Entry Level) – ₹4–7 LPA

  • Backend Developer (Java, Spring Boot) – ₹4.5–7.5 LPA

  • Frontend Developer (React.js) – ₹3.5–6 LPA

  • Junior AI Integration Developer – ₹4–7 LPA

  • Intern / Java Associate – ₹2–4 LPA

Experienced

  • Senior Fullstack Developer – ₹10–18 LPA

  • Spring Boot / Microservices Specialist – ₹12–20 LPA

  • AI-Powered Application Developer – ₹12–22 LPA

  • Cloud + Java Fullstack Engineer – ₹15–25 LPA

  • Freelance Fullstack/AI Developer – ₹1L–2.5L per month (project-based income)

Complete AI Powered Java Fullstack
Mastery in Telugu

79999
14,999
  •  
low Price

Get ₹10,000 Worth of Free Career Booster
Add-On Sessions, Only from FLM

Resume Building

Create strong resumes with expert guidance.

Job Updates

Get access to latest openings & hiring alerts.

Interview Prep

Mock interviews and communication training.

LinkedIn Boost

Optimize your LinkedIn for visibility.

Career Transition

Guidance to shift domains or roles confidently.

Freelancing

Learn how to start and grow as a freelancer.

Career Advancement Results

At Frontlines Edutech, we believe in transforming careers through high-quality, industry-relevant education. Our focus is on providing practical skills and knowledge that lead to real-world success. With a proven track record of impactful learning, we ensure our students are well-equipped to excel in their chosen fields and achieve their career goals with confidence.

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Frequently Asked Questions

The AI-Powered Java Full Stack Course is a comprehensive program that teaches both front-end and back-end development while integrating AI capabilities. You will gain expertise in Java, Spring Boot, Hibernate, MySQL, Microservices, AI Integration with OpenAI, and more, while working on real-world projects to build scalable AI-driven web applications.

This course is ideal for beginners, IT students, working professionals, career switchers, and anyone looking to build or advance a career in cloud computing, DevOps, or IT infrastructure.

No, prior programming experience is not required. The course starts from the basics and gradually moves to advanced AI-powered full-stack development concepts. It is beginner-friendly, with hands-on learning and step-by-step guidance.

Yes! The course includes placement support such as resume building, LinkedIn profile optimization, interview preparation, and access to job updates.

All sessions are recorded, and you will have access to these recordings along with downloadable resources, ensuring you can catch up anytime.

Yes, we offer flexible payment options, including EMI plans, to make the course accessible for everyone.

Get In Touch

Contact Us

Have any questions or need more information about our courses? Feel free to reach out to us! We’re here to help you on your learning journey.

Office Mail

support@frontlinesedutech.com

WhatsApp Us On

+91-83330 77727

Call Us On

+91-83330 77727

Office Address

1st Floor, Central Plaza, Durga Nagar Colony, Somajiguda, Hyderabad, Telangana - 500082

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