Program Syllabus

Detailed subject-wise roadmap and learning outcomes for every stage

Complete Learning Roadmap

A comprehensive 2-year program covering foundations to advanced specialization

SEMESTER 1

Foundation skills with marketing integration

16 weeks

⭐ Portfolio Projects

4 Complex Projects That Will Get You Hired

Build production-grade applications that showcase enterprise-level skills

📊
2-3 weeks

Customer Churn Prediction System

Telecom ML Platform with Full Stack Integration

Tech Stack

Pythonscikit-learnFlaskReact.jsPostgreSQLDocker

You'll Master:

  • ✓Logistic Regression, Decision Tree, and Random Forest models
  • ✓Handle class imbalance with SMOTE
  • ✓Hyperparameter tuning with GridSearchCV
  • ✓Flask REST API with prediction endpoints
  • ✓Real-time churn probability gauge

💼 Employer Value

Build production-grade machine learning system that predicts customer churn with Flask API, React dashboard, and AWS deployment

💬
2-3 weeks

Real-Time Sentiment Analysis Platform

E-commerce Review Monitor with NLP & Cloud

Tech Stack

PythonDjangoReact.jsMongoDBNLTKspaCy

You'll Master:

  • ✓Web scraping with BeautifulSoup
  • ✓Text preprocessing and TF-IDF feature extraction
  • ✓Naive Bayes and Logistic Regression classifiers
  • ✓Aspect-based sentiment analysis
  • ✓Real-time sentiment gauge and timeline

💼 Employer Value

Deploy NLP-powered sentiment analysis system with real-time monitoring, automated data pipeline, and AWS cloud infrastructure

🤖
2-3 weeks

Intelligent Recommendation Engine

Streaming Platform with A/B Testing

Tech Stack

PythonDjangoReact.jsPostgreSQLRedisscikit-learn

You'll Master:

  • ✓Collaborative and content-based filtering
  • ✓K-Means user segmentation
  • ✓User behavior analysis and clustering
  • ✓A/B testing framework with statistical significance
  • ✓Netflix-style UI with carousels

💼 Employer Value

Create Netflix-style recommendation system with collaborative filtering, content-based algorithms, and A/B testing framework

⚕️
2-3 weeks

AI-Powered Healthcare Diagnosis Assistant

Medical Image Classification with Security

Tech Stack

TensorFlowKerasFastAPIReactPostgreSQLAWS SageMaker

You'll Master:

  • ✓Transfer learning (VGG16, ResNet50, EfficientNet)
  • ✓Grad-CAM visualization for interpretability
  • ✓Symptom-based Random Forest model
  • ✓Ensemble method combining predictions
  • ✓JWT authentication and role-based access

💼 Employer Value

Build HIPAA-compliant healthcare diagnostic system with deep learning for medical image classification and symptom analysis