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B.Tech / BCA / MCA / Diploma / B.Sc. / M.Sc. (CS/IT) students
Trainers & educators upgrading to modern tech stacks
Working professionals upskilling or switching careers
B.Tech / BCA / MCA / Diploma / B.Sc. / M.Sc. (CS/IT) students
Trainers & educators upgrading to modern tech stacks
Working professionals upskilling or switching careers
This phase builds the essential base of computing and logic. Students learn core programming with Python, command-line usage, variables, loops, functions, and file handling.
👉 Outcome: Students become comfortable writing automation scripts, solving logic-based problems, and understanding backend foundations.
Live Project: Build encryption tools, automation scripts, and a simulated password-cracking system.
Learn professional development workflows, version control, Git branching, pull requests, issue tracking, and team collaboration.
Build modern, mobile-responsive web pages using CSS Flex/Grid, Bootstrap, Tailwind, and UI/UX planning on Figma.
Master ES6+, DOM manipulation, events, promises, async-await, and REST API calls.
Component-driven development, state management, hooks, routing, API integration, form handling, reusable components.
SSR, SSG, dynamic routing, API routes, folder structure, UI components, authentication UI, pagination, data fetching patterns.
👉 Outcome: Students can independently build complete responsive front-end applications used in real companies.
Live Project:
Develop a complete front-end platform with dashboard, login system, forms, responsive layouts, and API-based data flow.
Build a production-grade Next.js UI with routing, pagination, and interactive components.
Students learn how real servers work and how companies deploy applications.
• Module 6: Apache Web Server & Hosting Basics –
Install and configure Apache, manage virtual hosts, enable SSL, and deploy static websites.
• Module 7: Apache Tomcat for Java Hosting –
Configure Tomcat server, host Java applications, and deploy Spring Boot projects.
👉 Outcome: Students understand how websites are actually hosted in industry.
Live Project:
Deploy React, Next.js, and Java Spring Boot applications on Apache/Tomcat environments.
OOP concepts, classes, objects, inheritance, polymorphism, exception handling, collections, and JDBC basics.
Relational database design
Joins, indexing, transactions
MongoDB collections, documents, aggregations
Real-world schema creation
REST API creation
DTOs, entities, controllers
Spring Data JPA
Integrating PostgreSQL & MongoDB
Service-layer architecture
Exception handling, validation
👉 Outcome: Students can build complete backend API systems.
Live Project:
A Student & Course Management System with user login, course module management, student dashboard, lectures, and MongoDB-based logs.
• Module 11: Introduction to Python Frameworks (Django & Flask) –
Learn the fundamentals of Django (MTV architecture, ORM, templates) and Flask (routing, templates, Jinja2), and understand when to use each framework.
• Module 12: REST API Development with Django REST Framework (DRF) –
Build secure REST APIs with Django, serializers, viewsets, JWT authentication, filtering, and pagination.
• Module 13: Flask for Lightweight Backend Services –
Create lightweight backend apps with Flask, integrate SQLAlchemy ORM, and build REST APIs with authentication.
👉 Outcome: Students learn how Python-based APIs work in startups.
Live Project:
Build a Blog System + To-do App, including login, CRUD APIs, database storage, JWT authentication.
• Module 14: Complete NextJS Training for Backend –
Learn how to use Next.js for both frontend and backend by creating API routes, building RESTful services, and connecting with databases like PostgreSQL (via Prisma) and MongoDB (via Mongoose). Gain hands-on experience in full-stack development with a single framework.
👉 Outcome: Students can create backend services in JavaScript itself.
Live Project:
Build a User Authentication System with login, signup, profile update, and activity logs.
• Module 15: RESTful API Development –
Learn REST principles, HTTP methods, endpoint design, status codes, query params, and pagination. Build CRUD APIs using Python (Django/Flask) or NextJS.
• Module 16: API Security with JWT & OAuth –
Implement secure authentication with JWT, integrate OAuth2 (Google/GitHub login), and apply best practices like HTTPS, CORS, and rate limiting.
• Module 17: Web Application Security & Attack Vectors –
Study OWASP Top 10 vulnerabilities (SQLi, XSS, CSRF, IDOR), simulate attacks, and secure APIs/web apps against real-world threats.
👉 Outcome: Students can create secure enterprise-grade APIs.
Live Project:
A Secure Enrollment & Login API System with token-based security and OAuth integration.
• Module 18: Mobile App Development with React Native (Week 22 | 20 Hours) –
Build cross-platform Android/iOS apps with React Native. Learn core components, styling, navigation, state management, API integration, local storage (AsyncStorage/SQLite), and secure authentication with JWT.
• Module 19: Desktop App Development with Electron.js (Week 23 | 20 Hours) –
Develop cross-platform desktop apps with Electron.js. Understand main vs renderer processes, menus, dialogs, local storage, database integration (SQLite/PostgreSQL), API consumption, and packaging apps for Windows/macOS/Linux.
👉 Outcome: Students become multi-platform developers.
Live Project:
A Productivity Suite (Notes + Task Manager) working on both mobile and desktop.
• Module 20: Python for DevOps & Cloud Fundamentals (Week 22 | 20 Hours) –
DevOps lifecycle, Git basics, automation with Python scripts, cloud models (IaaS, PaaS, SaaS), provisioning AWS/DigitalOcean resources with Python SDKs (boto3), and CI/CD basics.
• Module 21: Docker & Kubernetes with Python Apps (Week 23 | 20 Hours) –
Containerization of Flask/Django apps with Dockerfiles & Compose, orchestration using Kubernetes (Pods, Deployments, Services), and Python automation with Docker SDK & Kubernetes Python Client for cloud deployments.
• Module 22: Python-Focused CI/CD with GitHub Actions (Week 24 | 20 Hours) –
GitHub version control workflows, automated testing with pytest, linting with flake8/black, Dockerized builds, and deploying Python apps to AWS/DigitalOcean via GitHub Actions + boto3.
👉 Outcome: Students learn deployment exactly like MNC DevOps teams.
Live Project:
Deploy a full stack app in Docker + Kubernetes + AWS with CI/CD.
• Module 23: AI/ML Fundamentals for Full Stack Developers –
Learn core concepts of AI/ML (models, training vs inference, neural networks, NLP basics) and integrate simple ML models into full stack applications using Python libraries (TensorFlow, scikit-learn) and JavaScript (TensorFlow.js).
• Module 24: AI-Powered Development Tools & Workflow Automation –
Explore AI coding assistants (GitHub Copilot, Tabnine), automated testing with AI, AI in DevOps pipelines, and learn how to leverage AI tools to code faster while maintaining quality.
• Module 25: AI APIs & Low-Code/No-Code Integration –
Integrate AI APIs (vision, NLP, chatbots) into apps, and build rapid prototypes with low-code platforms (Microsoft Power Apps, Budibase, Appsmith) connected to custom backend APIs.
👉 Outcome: Students can integrate AI features inside full stack apps.
Live Project:
AI-powered feedback analyzer / chatbot integrated into a web app.
A massive real-world project combining everything you learned:
✔ React/NextJS Front-end
✔ Java + Python + NodeJS backend services
✔ PostgreSQL + MongoDB schemas
✔ JWT/OAuth-based authentication
✔ Docker + Kubernetes deployment
✔ AWS/DigitalOcean hosting
✔ AI API integration
✔ Complete documentation, diagrams, GitHub repository
👉 Outcome: A portfolio-level enterprise project used for placements.
Career certifications validate expertise in a specific field, enhancing credibility and job prospects. Investing in relevant certifications can set you apart in a competitive job market. Let me know if you need recommendations!
Career certifications validate expertise in a specific field, enhancing credibility and job prospects. Investing in relevant certifications can set you apart in a competitive job market. Let me know if you need recommendations!
Career certifications validate expertise in a specific field, enhancing credibility and job prospects. Investing in relevant certifications can set you apart in a competitive job market. Let me know if you need recommendations!
Career certifications validate expertise in a specific field, enhancing credibility and job prospects. Investing in relevant certifications can set you apart in a competitive job market. Let me know if you need recommendations!
Career certifications validate expertise in a specific field, enhancing credibility and job prospects. Investing in relevant certifications can set you apart in a competitive job market. Let me know if you need recommendations!
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.
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.
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.
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.
We provide extensive support, including dedicated mentorship from instructors experienced in AI integration, a collaborative student community, and detailed documentation.
The program is designed to be flexible. We offer both full-time and part-time tracks to accommodate different schedules.
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.
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.
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.
Full Stack Developer & Trainer with expertise in modern web technologies and hands-on project development, dedicated to helping learners become job-ready.
MCA graduate and Junior Software Developer with 5+ years of IT industry experience, skilled in building modern applications and delivering efficient technical solutions.
