AI Powered Java Full Stack Developer Program

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Last Updated: 11/2025
Start Date Nov 02, 2025
Duration 180 Days Days
EMI Starting At ₹2500
Language Availability English

Course Key Highlights:

• 480+ Hours of Learning (Live + Practical + DSA) • 120+ Instructor-Led Interactive Classes
Weekend and Evening Batches Available
60+ Hours of Recorded Content
Industry-Recognized Full Stack Developer Certificate (with Project Experience)
100% Placement Support – Resume Building, Mock Interviews & MNC Referrals
Free access to updated modules, AI tools, and frameworks
200+ Hours (Projects, DSA, and Practical Labs)
120+ Hours of Live Classes
Why should you opt for this course?
  • Learn Modern Full Stack + AI Development in One Program
  • Industry-ready curriculum combining Full Stack + AI Integration
  • Hands-on projects built using modern tools like Docker, AWS, and Kubernetes
  • Includes AI API Integration for real-time data automation and chatbots
  • Job-focused training with mock interviews and placement drives

What will you learn?

  • Frontend: HTML, CSS, JS, ReactJS, NextJS.
  • Backend: Java, Spring Boot, Django, Flask, NodeJS.
  • Database: MySQL, PostgreSQL, MongoDB.
  • DevOps & Cloud: Docker, Kubernetes, AWS, CI/CD Pipelines.
  • AI Integration: TensorFlow, OpenAI GPT, Google NLP.
  • Git, GitHub, VS Code, Postman, Swagger.
  • Data Structures, Algorithms & System Design.
  • Portfolio & Placement Preparation.

Who should enroll?

UG/PG Students
UG/PG Students

B.Tech / BCA / MCA / Diploma / B.Sc. / M.Sc. (CS/IT) students

Educators
Educators

Teachers who wish to upgrade their curriculum to full-stack AI technologies

Working Professionals
Working Professionals

Working Professionals

What are the prerequisites?

  • Basic understanding of programming logic
  • A laptop/desktop with 8GB+ RAM
  • Stable internet connection
  • Dedication for coding & continuous practice

What is the price?

₹25000 ₹10000
₹10000 Buy Now

Course Curriculum

Phase 0 – Foundation & Programming Essentials 8 lectures

Detailed Description:
This phase builds a strong programming and logical foundation for aspiring developers.
You’ll learn the fundamentals of computing, operating systems, and networking concepts essential for software development.
We then move into Python programming basics, covering variables, data types, control statements, functions, and OOP concepts.
You’ll also explore version control using Git and GitHub, understanding how to manage repositories and collaborate in real-time projects.

Key Topics:

Operating Systems, Terminal & Command-Line Basics

Programming Logic & Flow Control

Python Core: Loops, Lists, Functions, Classes

Git & GitHub for Version Control and Branching

Basic CLI Projects

Outcome:
By the end of this phase, students can write modular Python scripts, manage code using Git, and confidently navigate any development environment.

Phase 1 – Front-End Development 25 lectures

Detailed Description:
This phase transforms you into a professional front-end web developer.
Starting with HTML5 for structure and CSS3 for styling, you’ll move into modern JavaScript (ES6+) to add interactivity and logic to websites.
Students will then master ReactJS, learning about components, props, state, and hooks to build reusable and dynamic UIs.
Finally, we introduce NextJS for server-side rendering, routing, and SEO-friendly web apps.
You’ll also design responsive web pages using Bootstrap, TailwindCSS, and core UI/UX principles.

Key Topics:

HTML5, CSS3, Flexbox, Grid, and Responsive Design

JavaScript ES6+ (Functions, Arrays, DOM Manipulation, Async Programming)

ReactJS: Components, Props, Hooks, Routing

NextJS: Pages, SSR, API Routes, SEO Optimization

UI/UX Fundamentals & Web Accessibility

Version Control & Deployment (GitHub Pages, Netlify)

Outcome:
Build professional, dynamic, and fully responsive interfaces.
Live Project: Design & deploy a corporate landing page using React + NextJS with animated UI.

Phase 2 – Backend Development (Java + Spring Boot + DB) 20 lectures

Detailed Description:
Learn to build secure and scalable back-end systems using Java and Spring Boot.
This phase covers Java fundamentals, OOP principles, collections, and exception handling before progressing to Spring Boot for RESTful API development.
You’ll learn to connect applications with relational and NoSQL databases like MySQL, PostgreSQL, and MongoDB.
Students will also explore Spring Data JPA, Dependency Injection, and API Testing with Postman.

Key Topics:

Java Core (OOPs, Collections, Exception Handling, Streams)

Spring Boot: REST APIs, Controllers, Beans, Dependency Injection

JPA & Hibernate ORM for Database Operations

MySQL, PostgreSQL & MongoDB Integration

API Testing using Postman & Swagger

Authentication & Authorization (JWT)

Outcome:
Build enterprise-grade backend APIs capable of connecting with modern frontends.
Live Project: Course Management REST API with authentication and CRUD operations.

Phase 3 – Backend Development (Django, Flask & NodeJS) 15 lectures

Detailed Description:
This multi-framework backend phase helps students understand full-stack interoperability.
Learn to build Python-based backends using Django and Flask, focusing on modular design, REST APIs, and ORM handling.
We also introduce NodeJS with NextJS API routes for building JavaScript-based backends.
The module covers JWT authentication, middleware, and microservices communication between frameworks.

Key Topics:

Django MVC Framework, Models, Views, Templates

Django REST Framework (DRF) for API creation

Flask Microservices & Lightweight Routing

NodeJS Basics & NextJS API Integration

JWT Authentication & Role-Based Access Control

REST vs GraphQL APIs

Outcome:
Gain the flexibility to work across Python and JS backend frameworks.
Live Project: Develop a “Task & Blog Management App” integrating Django & Flask microservices.

Phase 4 – DevOps & Cloud 15 lectures

Detailed Description:
In this phase, you’ll learn how real companies build, deploy, and maintain production-ready systems.
Students will master Linux command-line operations, Docker containerization, and Kubernetes orchestration.
We also cover AWS cloud services, including EC2 instance setup, S3 bucket management, and deployment automation using GitHub Actions.
This phase connects coding with real-world server management and DevOps workflows.

Key Topics:

Linux Shell Commands & Permissions

Docker Images, Containers & Docker Compose

Kubernetes Deployment, Services & Pods

AWS EC2, S3, and Networking Essentials

CI/CD Pipelines with GitHub Actions

Nginx/Apache Configuration for Web Hosting

Outcome:
Students will understand how to deploy full-stack apps securely and automatically.
Live Project: Containerize and deploy your Java Spring Boot app to AWS using Docker & CI/CD.

Phase 5 – Artificial Intelligence Integration 10 lectures

Detailed Description:
This is the signature module that gives the program its edge.
Students will learn to integrate AI and Machine Learning features into their full stack applications.
You’ll explore AI concepts such as data preprocessing, model integration, and API-based intelligence using OpenAI, TensorFlow.js, and Google NLP.
We also teach how to automate tasks using AI-powered APIs and low-code platforms like Appsmith.

Key Topics:

AI/ML Fundamentals (Supervised, Unsupervised Learning)

Integrating TensorFlow & TensorFlow.js Models in Frontend

Using OpenAI GPT APIs for Chatbots & Text Automation

Google NLP & Vision AI Integration

AI-Assisted Development Tools (GitHub Copilot, Tabnine)

Building AI-Powered Dashboards and Feedback Systems

Outcome:
Learn how to create intelligent, data-driven web applications.
Live Project: AI-Powered Feedback Analyzer using GPT API and TensorFlow.js.

Phase 6 – Data Structures & Algorithms (Parallel Track) 20 lectures

Detailed Description:
This parallel phase strengthens your technical foundation in DSA — a must for interviews and coding tests.
Students will learn to solve real-world problems using arrays, linked lists, stacks, queues, trees, graphs, and dynamic programming.
We follow a structured roadmap aligned with LeetCode and HackerRank challenges to enhance logical and analytical thinking.

Key Topics:

Arrays, Strings, Linked Lists

Stacks, Queues, Trees, and Graphs

Sorting, Searching & Recursion

Dynamic Programming & Greedy Algorithms

Time & Space Complexity Analysis

Mock Coding Tests & Contest Practice

Outcome:
Build strong problem-solving ability to crack technical interviews and real-world logic-based tasks.

Phase 7 – Capstone Project & Placement Preparation 12 lectures

Detailed Description:
The final phase focuses on consolidating everything you’ve learned through a real-world enterprise project.
You’ll design, develop, and deploy a full-stack AI-powered system integrating ReactJS, Spring Boot, Docker, and AWS.
In parallel, you’ll receive career coaching, resume reviews, LinkedIn optimization, and mock interviews conducted by industry mentors.

Key Topics:

System Design & Scalable Architecture

Final Capstone Project (AI-Integrated Enterprise App)

Resume, GitHub & Portfolio Review

Mock Technical + HR Interviews

Communication Skills & Soft Skill Enhancement

Outcome:
By the end, you’ll have a portfolio-ready AI-Integrated Full Stack Application, a polished resume, and confidence for placements.

Course Projects

corpizo.com – Industrial Web Platform

Description: A live company website clone built by trainees using Spring Boot + MongoDB + NextJS. Features include CMS-style admin panel, SEO optimization, and deployment on cloud servers. Skills Used: React, NextJS, Spring Boot, MongoDB, Apache, CI/CD, Docker

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AI-Powered Feedback Analyzer

Description: Full-stack application that collects and analyzes customer feedback using OpenAI GPT and TensorFlow.js for sentiment scoring. Key AI Integration: Text sentiment classification with TensorFlow.js GPT-based summary and recommendation engine Backend: Django REST API + MongoDB Outcome: AI-integrated decision-support dashboard.

Read More
Student & Course Management System

Description: Full CRUD application to manage students, enrollments, and course progress using Spring Boot + PostgreSQL + JWT Authentication. Outcome: Enterprise-level backend system with authentication & real-time data visualization.

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AI-Enhanced Productivity Platform

Description: A full-stack enterprise-level application integrating all technologies: Frontend: NextJS + TypeScript + TailwindCSS Backend: Java Spring Boot & Django APIs Databases: PostgreSQL + MongoDB DevOps: Docker, Kubernetes, GitHub Actions AI Layer: GPT-based chatbot, task recommendations, voice feedback analyzer Outcome: Portfolio-ready project demonstrating Full Stack + DevOps + AI integration — proof of real industrial capability.

Read More

Tools Covered

ReactJS
NextJS
Java
Spring Boot
Django
NodeJS
PostgreSQL
MongoDB
TensorFlow.js

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Frequently Asked Question

Yes — you’ll learn how to integrate AI APIs and TensorFlow models into your full stack projects.

 

Yes — you’ll learn how to integrate AI APIs and TensorFlow models into your full stack projects.

 

Yes — you’ll learn how to integrate AI APIs and TensorFlow models into your full stack projects.

 

Yes — you’ll learn how to integrate AI APIs and TensorFlow models into your full stack projects.

 

Career Scope?

    • Java Full Stack Developer
    • AI-Integrated Web Developer
    • Backend Developer (Java/Python)
    • AI Application Developer
    • Software Engineer – Full Stack

Frequently bought together

This fast-track program integrates complete UI/UX design, research, and development skills — from ideation to code conversion — preparing students for roles in design studios, startups, and MNCs.


180
Live Project

CompTia N+

Virtualisation

Windows Administrator

Windows Server

CCNA

ITIL


10-20 hours
Live Project

Your Instructors

Person

Abhinav Thakur

Full Stack Web Developer

Person

Ranjan

Person

Harshitha

Person

Pramish