Become a Fullstack AI Developer
Master the complete AI development stack—from frontend interfaces and API integration to ML model deployment and database management. Build complete AI-powered applications with industry-relevant projects.
Full Stack AI Internship
Master end-to-end AI application development – from machine learning models to production-ready web applications with AI integration.
Program Overview
This comprehensive Full Stack AI internship combines web development with artificial intelligence. You’ll learn to build complete AI-powered applications – from developing machine learning models to creating responsive frontends, robust backends, and deploying scalable applications with AI integration.
Full Stack Development
Master frontend, backend, databases, and deployment for AI applications
AI Model Integration
Learn to integrate ML models into production web applications
Cloud Deployment
Deploy AI applications on AWS, Azure, and Google Cloud platforms
API Development
Build RESTful APIs and microservices for AI model serving
Detailed Curriculum
Frontend Development with React
- HTML5, CSS3, and JavaScript ES6+
- React fundamentals and component architecture
- State management with Redux/Context API
- React Router for navigation
- Material-UI and Tailwind CSS for styling
- Building responsive AI application interfaces
Backend Development & APIs
- Node.js and Express.js framework
- RESTful API design and development
- Middleware and authentication (JWT, OAuth)
- Database integration with MongoDB and PostgreSQL
- WebSocket for real-time applications
- API documentation with Swagger/OpenAPI
- Microservices architecture
Machine Learning & AI Fundamentals
- Python for data science and ML
- NumPy, Pandas, and Scikit-learn
- Supervised and unsupervised learning
- Deep learning with TensorFlow/Keras
- Model training, validation, and evaluation
- Feature engineering and preprocessing
- Computer vision and NLP basics
AI Model Serving & Integration
- Model serialization with Pickle and Joblib
- Building prediction APIs with Flask/FastAPI
- TensorFlow Serving and ONNX runtime
- Real-time inference and batch processing
- Model monitoring and performance tracking
- Containerization with Docker
- Load balancing and scaling AI services
Cloud Deployment & DevOps
- AWS services for AI applications (EC2, S3, Lambda)
- Azure AI services and deployment
- Google Cloud AI Platform
- CI/CD pipelines with GitHub Actions/Jenkins
- Container orchestration with Kubernetes
- Monitoring with Prometheus and Grafana
- Infrastructure as Code with Terraform
Advanced Projects & Production
- End-to-end AI application development
- Real-time AI dashboards and monitoring
- Multi-model AI systems integration
- Performance optimization and caching
- Security best practices for AI apps
- Testing strategies for AI applications
- VTU format report submission
Tools & Technologies You’ll Master
End-to-End Projects You’ll Build
AI-Powered E-commerce Platform
Build a complete e-commerce platform with product recommendation engine, chatbot support, and sales prediction dashboard.
Real-time Stock Prediction Dashboard
Create a real-time financial dashboard with stock prediction models, live charts, and portfolio optimization AI.
Healthcare Diagnostic Assistant
Develop a healthcare platform with medical image analysis, symptom checker AI, and patient management system.
Smart Content Management System
Build a CMS with AI-powered content generation, SEO optimization, and automated social media posting.
Autonomous Trading Bot Platform
Create a cryptocurrency trading platform with AI trading bots, real-time analytics, and risk management.
Intelligent Recruitment Platform
Develop a recruitment system with AI resume screening, candidate matching, and interview scheduling automation.
Ready to Build Complete AI Applications?
Join our Full Stack AI internship and master the complete journey from AI models to production web applications
Contact Us: intern@krugna.com | +91 89700 02233