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● Live Sessions 🔥 Most Enrolled ✓ ISO 9001 Certified

AI Powered Java Full Stack Developer Program

📅
Start Date
Nov 11, 2025
⏱
Duration
180 Days
🌐
Language
English
🏢
Placement
250+ MNCs
Enroll Now — ₹11800 💬 Talk to Advisor
💼
250+
MNC Partners
💰
2.4–4.5 LPA
Starting Salary
🎓
5
Certificates
🏆
9,589+
Students Placed
📖 About This Course

Full Stack Software Development with AI Integration


The AI Powered Java Full Stack Developer Program prepares learners to build complete enterprise applications using modern Java technologies integrated with AI-assisted development tools. Full stack developers capable of handling both frontend and backend development are highly valued in the software industry.
The program covers Core Java, object-oriented programming, Spring Boot framework, RESTful API development, database integration, frontend frameworks, application testing, and deployment strategies. AI-powered tools are introduced to improve coding efficiency, debugging, and productivity.
Students work on real application development projects, learning software architecture, database design, API integration, and responsive user interface development. Practical implementation ensures understanding of enterprise coding standards and modern software workflows.
Portfolio development is emphasized to help learners showcase real projects during interviews. Training also focuses on collaboration tools and version control practices used by professional development teams.
Career roles include Java Full Stack Developer, Software Engineer, Backend Developer, Web Application Developer, API Developer, and Enterprise Application Developer across startups, SaaS companies, and multinational technology organizations.
⭐ Course Key Highlights
📚
• 480+ Hours of Learning (Live + Practical + DSA) • 120+ Instructor-Led Interactive Classes
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Weekend and Evening Batches Available
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60+ Hours of Recorded Content
👨‍💼
Industry-Recognized Full Stack Developer Certificate (with Industry Experience)
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100% Placement Support – Resume Building, Mock Interviews & MNC Referrals
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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?
✓
100% Practical, Outcome-Driven Learning Work on cloud deployments, CI/CD pipelines, real GitHub workflows, system design & enterprise architecture.
✓
Complete Modern Tech Stack Frontend + Backend + Databases + DevOps + Cloud + AI/ML integration aligned with Top MNC hiring standards.
✓
Real-World Experience Certificate Your project development work becomes verifiable experience, not just a course certificate.
✓
Placement Support Designed for Results Resume building, mock interviews, coding contests, portfolio optimization, and MNC referrals.
✓
Beginner Friendly — Yet Expert Level Outcome Perfect for freshers, non-technical backgrounds, and working professionals planning a tech career transition.
🎯 What Will You Learn?
Frontend Development: HTML, CSS, JavaScript, React, Next.js
Backend Development: Java (Spring Boot), Django/Flask (Python), Node.js
APIs & Authentication: REST, JWT, OAuth, Microservices
Databases: PostgreSQL, MongoDB, MySQL, Prisma, SQLAlchemy
DevOps: Docker, Kubernetes, GitHub Actions (CI/CD)
Cloud Deployment: AWS, DigitalOcean
AI/ML Integration: OpenAI APIs, TensorFlow.js, AI-powered automation
DSA & System Design: 1000+ coding problems + interview preparation
Enterprise Application Development & Deployment
👥 Who Should Enroll?
🎓
UG/PG Students (B.Tech, BCA, MCA, Diploma, CS/IT)
B.Tech / BCA / MCA / Diploma / B.Sc. / M.Sc. (CS/IT) students
💼
Freshers targeting IT roles
Trainers & educators upgrading to modern tech stacks
🔄
Working professionals upskilling or switching careers
Professionals looking to upskill in Full Stack Development
📋 Prerequisites
Basic understanding of logical thinking or programming fundamentals (optional but helpful)
Laptop (8GB RAM recommended)
Stable internet connection
Consistency, dedication, and willingness to practice coding regularly
📚 Course Curriculum

10 comprehensive modules

🌐
🌟 Module 1: Program Highlights & Career Roadmap
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🎯 Learning

  • Understand Full Stack Developer role with AI integration
  • Learn real industry expectations & career roadmap

📚 Topics

  • Full Stack Developer role in 2025
  • Java Full Stack vs MERN vs Python
  • AI usage in modern applications
  • Salary trends & growth path

🏆 Outcomes

  • Clear career direction
  • Confidence in course & job alignment

🛠️ Mini Project

  • AI-Assisted Career Roadmap Planner
☁️
☕ Module 2: Core Java Programming (Foundation Skill)
▼

🎯 Learning

  • Build strong Java fundamentals for backend systems

📚 Topics

  • Core Java syntax & logic
  • OOP concepts
  • Collections & exception handling
  • Multithreading basics
  • Java 8 features

🏆 Outcomes

  • Strong problem-solving & coding base
  • Interview-ready Java knowledge

🛠️ Project

  • Employee Management System (OOP Based)
🖥️
🗄️ Module 3: Database & SQL (Data Handling Skills)
▼

🎯 Learning

  • Design and manage application databases

📚 Topics

  • MySQL / PostgreSQL
  • SQL queries & joins
  • Indexing & normalization
  • JDBC integration

🏆 Outcomes

  • Efficient database design
  • Backend data handling skills

🛠️ Project

  • Student Result Management System
🐧
🌐 Module 4: Frontend Development (HTML, CSS, JavaScript)
▼

🎯 Learning

  • Create responsive, interactive UIs

📚 Topics

  • HTML5 & CSS3
  • JavaScript fundamentals
  • DOM manipulation
  • Responsive design

🏆 Outcomes

  • Professional UI development skills

🛠️ Project

  • Responsive Portfolio Website
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⚛️ Module 5: Modern Frontend Framework (Angular / React)
▼

🎯 Learning

  • Build scalable frontend applications

📚 Topics

  • Component architecture
  • Routing & state management
  • API integration
  • Forms & validations

🏆 Outcomes

  • Industry-level frontend capability

🛠️ Project

  • Job Portal Frontend Application
💼
🔧 Module 6: Backend Development with Spring Boot
▼

🎯 Learning

  • Develop enterprise-grade backend services

📚 Topics

  • Spring Boot fundamentals
  • REST APIs
  • JPA & Hibernate
  • Security & authentication

🏆 Outcomes

  • Backend developer job readiness

🛠️ Project

  • E-Commerce Backend API🎯 LearningDevelop enterprise-grade backend services

📚 Topics

  • Spring Boot fundamentals
  • REST APIs
  • JPA & Hibernate
  • Security & authentication

🏆 Outcomes

  • Backend developer job readiness

🛠️ Project

  • E-Commerce Backend API
🌐
🤖 Module 7: AI Integration for Full Stack Developers
▼

🎯 Learning

  • Integrate AI into real-world applications

📚 Topics

  • AI concepts for developers
  • OpenAI / AI APIs
  • Chatbot & recommendation systems
  • Prompt engineering

🏆 Outcomes

  • AI-enabled application development

🛠️ Project

  • AI-Powered Customer Support Chatbot
☁️
☁️ Module 8: DevOps & Deployment Basics
▼

🎯 Learning

  • Deploy & manage full stack applications

📚 Topics

  • Git & GitHub
  • CI/CD basics
  • Docker fundamentals
  • Cloud deployment (AWS/Azure)

🏆 Outcomes

  • Production deployment confidence

🛠️ Project

  • Cloud Deployment of Full Stack App
🖥️
🧪 Module 9: Testing, Debugging & Optimization
▼

🎯 Learning

  • Ensure application stability & performance

📚 Topics

  • JUnit testing
  • API testing (Postman)
  • Debugging techniques
  • Performance tuning

🏆 Outcomes

  • Production-ready coding mindset

🛠️ Project

  • Test Automation Suite
🐧
💼 Module 10: Industry Projects & Interview Readiness
▼

🎯 Learning

  • Prepare for interviews & real job roles

📚 Topics

  • System design basics
  • Resume (ATS-friendly)
  • Mock interviews
  • HR & managerial rounds

🏆 Outcomes

  • Job-ready confidence & portfolio

🛠️ Capstone Projects

  • AI-Powered Job Portal (End-to-End)
  • Smart E-Commerce Platform with AI Recommendations
👨‍🏫 Your Instructors
Abhinav Thakur
Abhinav Thakur
Senior Full Stack Developer with 10+ years of extensive experience in designing, developing, and deploying scalable web applications across modern tech stacks. Skilled in leading projects, mentoring teams, and delivering high-quality solutions.
Ranjan
Ranjan
Full Stack Developer and Instructor with 5+ years of experience, specializing in Web Development, Python, SQL, Django, React, and Git/GitHub. Focused on practical, industry-based training to make learners job-ready.
Harshitha
Harshitha
Full Stack Developer & Trainer with expertise in modern web technologies and hands-on project development, dedicated to helping learners become job-ready.
Pramish
Pramish
MCA graduate and Junior Software Developer with 5+ years of IT industry experience, skilled in building modern applications and delivering efficient technical solutions.
🏗️ Course Projects
⭐ PROJECT 1: Full-Stack Student & Course Management System
Technologies: React.js / Next.js, Java Spring Boot, PostgreSQL, MongoDB, JWT Authentication Difficulty: Intermediate–Advanced Project Summary You will build a complete education-management web application used by coaching institutes and training platforms. Features You Will Implement User Authentication: Signup, login, JWT token security Role Management: Admin, Mentor, Student Student Panel: View courses, chapters, lectures Submit tasks & quizzes Track attendance Admin Panel: Add/update/delete courses Manage students & batches Upload study materials Database Structure: PostgreSQL: Students, courses, batches, attendance MongoDB: Logs, comments, activity tracking API Development: Modular controllers (Course API, Student API, Attendance API) Error handling + request validation Outcome This project shows you can build full enterprise backend + dashboard system—a major highlight in interviews.
⭐ PROJECT 2: AI-Powered Feedback Analyzer Web App
Technologies: Python (Django), AI APIs (NLP), Next.js, MongoDB Difficulty: Advanced Project Summary A complete web application where users submit feedback, and the system analyzes sentiment using AI. Features You Will Implement AI Integration: Sentiment Analysis (Positive/Neutral/Negative) Keyword extraction Auto-generation of improvement suggestions User Dashboard: Submit feedback View AI results History of past submissions Admin Dashboard: Analytics chart with sentiment percentages Feedback trends over time Backend Logic: AI processing pipeline REST API for front-end Authentication (JWT / Session) Database: User data Feedback text AI results with timestamps Outcome Shows your ability to integrate real-world AI features into full stack applications.
⭐ PROJECT 3: Cross-Platform Productivity Suite (Mobile + Desktop)
Technologies: React Native, Electron.js, Django APIs, PostgreSQL Difficulty: Advanced Project Summary A unified productivity application working on Android + Windows desktop with the same backend. Modules Included Notes App: Create, edit, delete notes Add tags, pin notes To-Do Manager: Add tasks, due dates, priority Mark as complete User Authentication: Login, logout, JWT authentication Sync Across Devices: If a user adds a note in mobile, it appears on desktop instantly Backend APIs: Written in Django API endpoints for notes, tasks, sync, profile Outcome This project demonstrates multi-platform development, which is highly impressive for hiring companies.
⭐ PROJECT 4: Secure Authentication & User Management System
Technologies: Next.js (Frontend + API Routes), Prisma ORM, PostgreSQL, Tailwind CSS Difficulty: Beginner–Intermediate Project Summary A modern, production-ready user authentication system used in real applications. Core Features Signup/Login with validations Forgotten password with email OTP JWT-based authentication Profile update (photo, bio, password) Activity log (last login, IP, device) Admin panel View all users Block/unblock users Role-based permissions Outcome This project proves that you can build secure real-world authentication systems—highly valuable for backend roles.
🏆 Certificates You Earn

Career certifications validate expertise in a specific field, enhancing credibility and job prospects.

🌟
Industry-Recognized Certificate
🎓
Course Completion
💼
Placement Assistance
🚀 Career Scope After This Program
Java Full Stack Developer
AI-Integrated Web Developer
Backend Developer (Java/Python)
AI Application Developer
Software Engineer – Full Stack
❓ Frequently Asked Questions
I'm new to AI. Do I need a background in data science or mathematics?▼

Not at all! This program is designed for aspiring developers. We start with the practical application of AI. You'll learn how to use pre-built AI models and APIs through Java, which is much more about integration and understanding concepts than building algorithms from scratch.

What kind of job roles will I be qualified for after completing this program?▼

You'll be primed for high-demand roles like AI-Full Stack Developer, Java Developer (AI/ML Specialization), Software Engineer - Intelligent Applications, and Backend Engineer for AI Products.

With AI automating coding tasks, is becoming a developer still a good career choice?▼

Absolutely. AI is automating repetitive tasks, not replacing the developer's critical thinking, problem-solving, and architectural design skills. This program prepares you for this shift.

Will I get hands-on experience with real AI tools and platforms?▼

Yes! This is a core part of the program. You will gain practical experience with industry-relevant tools like GitHub Copilot for AI-assisted coding, OpenAI API, Google TensorFlow (Java), and Amazon AWS AI Services, ensuring you're comfortable with the platforms used by real companies.
 

What if I get stuck on the AI-specific parts of the curriculum?▼

We provide extensive support, including dedicated mentorship from instructors experienced in AI integration, a collaborative student community, and detailed documentation.

How long does it take to complete the program, and is it suitable for someone working a full-time job?▼

The program is designed to be flexible. We offer both full-time and part-time tracks to accommodate different schedules.

Do you offer career support specifically for roles in AI-driven companies?▼

Yes, our career services are tailored to the new market. This includes resume preparation highlighting your AI-integration projects, interview preparation focused on discussing AI concepts with potential employers.