AI Powered Java Fullstack – From Basics to Advanced with AI Integration
Learn Java Full Stack Course In Telugu , Become a Pro in FrontEnd , DataBase,JavaSE ,Java EE with AI integration.
100% Live
Training
2 Years
Recordings
Free
Addon Sessions
Real Time
Projects
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 That Want to Hire You
We Understand Your Struggles – And We’ve Solved Them!
Career Confusion
- Backend or frontend, which to choose?
- Learn both + AI integration in one complete roadmap.
Coding Fear
- Afraid Java is tough?
- Step-by-step training from Core Java → Advanced → AI modules.
Too Many Tools
- Lost between SQL, Hibernate, Spring, React?
- Simplified end-to-end fullstack flow with practice projects.
Interview Stress
- Can’t handle coding + scenario questions?
- Mock tests, Q&A, real-world projects included.
No Portfolio
- Nothing to showcase recruiters?
- Build 7+ major and mini projects including AI-powered apps.
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
👉 Dedicated Job Updates
👉 100% Live Training in Telugu
👉 Industry Ready Training
👉 Interview Questions & Study Materials
👉 Resume & Linked In Preparation
Java Full Stack Course Syllabus
1. Introduction to Java
History and Features of Java
JDK, JRE, JVM
Setting Up Java Environment and Eclipse
2. Basics of Java
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
3. Object-Oriented Programming (OOP) Concepts
Class and Object
Constructor & Constructor Chaining
Static Keyword
Inheritance
This vs Super
Polymorphism
Abstraction
Encapsulation
Access Modifiers
Interfaces
4. Miscellaneous, Exception Handling & java.lang Package
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
5. Multithreading, Collections & Java 8 Features
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
6. Database (SQL & NoSQL)
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)
7. JDBC & Hibernate
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
8. Web Applications (Servlets & JSP)
Building Dynamic Web Applications
Setting Up Tomcat Server
Initializing a Servlet
Servlet Life Cycle, doPost & doGet
JSPs (Overview, Directives, Expressions)
Using JSPs with Servlets
9. Spring Framework (Core, JDBC, ORM, MVC, AOP)
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)
10. Spring Boot (Core to Advanced)
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)
11. Spring AI & Advanced Integrations
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
12. Microservices & API Gateway
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
13. Git & GitHub
Git Environment Setup
Version Control Basics
Stages in Git, Cloning Repos
Commit History, Branching
Pull Requests, Reviewing & Merging
Resolving Merge Conflicts
14. Frontend (HTML, CSS, JavaScript, React)
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
Career Paths After Java Full Stack 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 Course
Mastery in Telugu
- Time : 7:00-8:00PM , 4+ Months Duration
- Start Date: 26th May 2025
Get ₹10,000 Worth of Free Career Booster
Add-On Sessions
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.
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.
Frequently Asked Questions
1. What is the AI-Powered Java Full Stack Course all about?
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.
2. Who is this AI-Powered Java Full Stack Course for?
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.
3. Do I need prior programming experience?
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.
4. Will I receive job placement assistance?
Yes! The course includes placement support such as resume building, LinkedIn profile optimization, interview preparation, and access to job updates.
5. What if I miss a live session?
All sessions are recorded, and you will have access to these recordings along with downloadable resources, ensuring you can catch up anytime.
6. Do you offer EMI payment options?
Yes, we offer flexible payment options, including EMI plans, to make the course accessible for everyone.
Get Certified
Yes, you’ll get a Certificate representing your Industry Readiness once you submit your projects and clear the pre placement test.
Approved by AICTE
Certified by ISO 21001:2018
Recognized by Startup India
Registered under MSME
