AI-Powered Fullstack Training Internship
Type: Other
AI-Powered Django Full-Stack Training Internship
Web Development • Data Analytics • Machine Learning • AI Integration
BEGINNER FRIENDLY • STEP-BY-STEP • HANDS-ON • JOB-READY SKILLS
Batch & Mode
- Morning: 8:00 AM – 11:00 AM
- Afternoon: 12:00 PM – 3:00 PM
- Evening: 3:30 PM – 6:30 PM
- Mode: Hybrid (Online + Offline)
- Duration: 3.5 Months
Why This Program Is for You
This program is for students who feel confused about where to start, who want real skills instead of theory, and who want to confidently say: “I can build real applications.”
We start from the basics, explain patiently, practice repeatedly, and help you grow step-by-step until you can build AI-powered web applications on your own.
How We Train (Why Students Love Us)
- No assumption of prior knowledge
- Simple explanations with real examples
- Live coding and guided practice
- Hands-on learning every day
- Doubt clearing without pressure
- Confidence building from Day 1
Phase-Wise Learning Journey
Phase 1 – Web & Programming Foundations
Module 1: HTML & CSS
- How websites work
- HTML structure
- Forms and inputs
- Semantic tags
- CSS basics
- Colors and fonts
- Box model
- Flexbox
- Responsive design
- Layouts
- Navigation bars
- Forms styling
- UI best practices
- Debugging UI
- Mini webpages
Module 2: JavaScript Basics
- JavaScript fundamentals
- Variables
- Conditions
- Loops
- Functions
- Arrays
- Objects
- DOM manipulation
- Events
- Form validation
- Error handling
- Debugging
- Mini scripts
- Logic building
- Confidence
Module 3: Bootstrap & Git
- Bootstrap grid
- Components
- Cards
- Navbars
- Forms
- Responsive layouts
- Git basics
- GitHub workflow
- Commits
- Repositories
- Branching
- Merging
- Version control
- Project tracking
- Portfolio setup
Module 4: Python Programming
- Python basics
- Variables
- Data types
- Conditions
- Loops
- Functions
- Lists
- Dictionaries
- File handling
- Error handling
- Logic building
- Debugging
- Mini programs
- Practice
- Confidence
Phase 2 – Data Analytics, ML & DL
Module 1: Data Analytics & EDA
- What is data analytics
- Pandas basics
- Data cleaning
- Null handling
- EDA
- Statistics basics
- Visualization
- Patterns
- Trends
- Insights
- Real datasets
- Mini analytics projects
- Charts
- Dashboards
- Confidence
Module 2: Machine Learning
- What is ML
- Types of ML
- Regression
- Classification
- KNN
- Decision trees
- Clustering
- Model training
- Evaluation
- Accuracy
- Overfitting
- Tuning
- Mini ML apps
- Practice
- Confidence
Module 3: Deep Learning
- Neural networks
- ANN
- CNN basics
- Image classification
- RNN basics
- Text sequences
- Model training
- Loss functions
- Activation functions
- Overfitting control
- Hands-on DL
- Mini DL projects
- Debugging
- Optimization
- Confidence
Module 4: AI Concepts
- What is AI
- AI vs ML
- Real-world AI
- AI pipelines
- Data flow
- AI ethics
- Use cases
- AI APIs
- Integration ideas
- Visualization
- Mini AI tasks
- Debugging
- Confidence
- Practice
- Review
Phase 3 – Django Backend Development
Module 1: Django Basics
- Django overview
- MVT architecture
- URL routing
- Views
- Templates
- Forms
- Validation
- CRUD operations
- Authentication
- Authorization
- Error handling
- Security basics
- Mini apps
- Debugging
- Best practices
Module 2: Databases & ORM
- Database concepts
- PostgreSQL
- Tables
- Relationships
- Django ORM
- Queries
- Joins
- Indexes
- Validation
- Performance
- Security
- Mini DB apps
- Debugging
- Optimization
- Best practices
Module 3: APIs & Authentication
- REST APIs
- GET & POST
- JSON
- Token auth
- JWT basics
- API security
- Postman
- Testing
- Error responses
- Integration
- Mini APIs
- Debugging
- Optimization
- Practice
- Confidence
Module 4: Full-Stack Django Apps
- Frontend-backend flow
- Forms to DB
- Dashboards
- Role-based apps
- Admin panel
- CRUD systems
- Error handling
- Security
- Testing
- Optimization
- Mini projects
- Debugging
- Confidence
- Best practices
- Review
Phase 4 – Django + ML + AI Integration
Module 1: ML Integration in Django
- ML models in backend
- Prediction APIs
- Model loading
- Data flow
- Forms to ML
- Visualization
- Error handling
- Security
- Optimization
- Testing
- Mini ML apps
- Debugging
- Practice
- Confidence
- Review
Module 2: AI Dashboards
- Prediction dashboards
- Charts
- Reports
- Analytics UI
- Smart alerts
- Filters
- Visualization
- Security
- Error handling
- Optimization
- Mini dashboards
- Debugging
- Practice
- Confidence
- Review
Module 3: Capstone Projects
- AI-powered management system
- Smart analytics platform
- ML-enabled web application
Module 4: Job Readiness
- Resume building
- GitHub portfolio
- Project explanation
- Mock interviews
- Confidence training
- Problem solving
- System thinking
- Code review
- Debugging mindset
- Professional behavior
- Communication
- Career clarity
- Growth mindset
- Learning roadmap
- Final guidance
30+ Hands-On Mini Projects (Practice by Building)
You don’t learn by watching — you learn by building. Every phase includes mini projects so concepts become clear, confident, and practical.
Web & Python Mini Projects
- Personal Portfolio Website
- Responsive College Website
- Student Registration Form
- Login & Signup UI
- JavaScript Calculator
- To-Do List App
- Color Generator Tool
- Quiz Application
- Weather UI Page
- Python Number Guessing Game
Data Analytics & ML Mini Projects
- Student Marks Analysis
- Sales Data Visualization Dashboard
- Weather Data Analysis
- House Price Prediction
- Loan Approval Prediction
- Student Performance Prediction
- Spam Email Classification
- Customer Segmentation
- Salary Prediction Model
- Health Risk Prediction
Django Backend Projects
- Student Management System
- Employee Management System
- College Attendance System
- Admin Dashboard Application
- Authentication-Based CRUD App
- Role-Based Login System
- Online Feedback System
- Task Management App
- Billing & Invoice System
- Library Management System
AI-Integrated Projects
- AI-Based Result Prediction System
- ML-Powered Web Form Predictions
- Student Risk Analysis Dashboard
- AI-Enabled Attendance Insights
- Smart Analytics Web App
- ML Model Integrated Django App
- AI-Driven Recommendation System
- Prediction-Based Admin Dashboard
- Data-Driven Decision Web Tool
- End-to-End AI Web Application
Roles You Can Apply For
- Django Full-Stack Developer Intern
- Python Developer
- AI / ML Intern
- Data Analyst Trainee
- Software Developer Trainee
No placement assistance promised – job-ready focus.