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Home › Corporate Training › Web Dev › AI Powered Java Full Stack Developer Program
● Live Sessions 🔥 Most Enrolled ✓ ISO 9001 Certified

AI Powered Java Full Stack Developer Program

📅
Start Date
Nov 11, 2025
⏱
Duration
180 Days
🌐
Language
English
💳
EMI From
₹2950
🏢
Placement
250+ MNCs
Enroll Now — ₹11800 💬 Talk to Advisor 📄 Brochure
⭐⭐⭐⭐⭐
Google 4.7★2124 Reviews
⭐⭐⭐⭐⭐
AmbitionBox 4.8★689 Reviews
⭐⭐⭐⭐⭐
Glassdoor 5★956 Reviews
💼
250+
MNC Partners
💰
2.4–4.5 LPA
Starting Salary
🎓
5
Certificates
🏆
9,589+
Students Placed
⭐ 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 Industry 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?
✓
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
▼

🎯 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
🔒
⚛️ 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.