At LearNova AI, we don’t just teach — we guide you toward real transformation. Our structured learning path, live mentorship, and hands-on projects ensure you're not just certified — you're skilled and job-ready.
Phase 1: Foundations (Weeks 1–4)
• Math Foundations: Linear Algebra, Probability, Statistics, Calculus
• Python for AI/ML (NumPy, Pandas, Matplotlib, Seaborn)
• Data preprocessing, EDA, Feature Engineering
• Project: EDA on Indian Banking / Healthcare dataset
Phase 2: Machine Learning (Weeks 5–10)
• Supervised ML: Regression, Classification, Model Evaluation
• Unsupervised ML: Clustering, PCA, Dimensionality Reduction
• Ensemble methods: Random Forest, Gradient Boosting, XGBoost
• Projects: Loan default prediction, Customer segmentation
Phase 3: Deep Learning & NLP (Weeks 11–16)
• ANN, CNN, RNN, LSTM, GRU (TensorFlow & PyTorch)
• Transfer Learning (VGG, ResNet, BERT)
• Computer Vision: Object detection, OCR, Face recognition
• NLP: Sentiment analysis, Chatbots, Transformers
• Projects: Indian Language Chatbot, Handwritten OCR
Phase 4: Advanced AI & MLOps (Weeks 17–20)
• Reinforcement Learning, GANs, Generative AI
• Big Data & Cloud: Hadoop, Spark, AWS/GCP/Azure ML
• MLOps: MLflow, DVC, CI/CD for ML
• Projects: Fraud detection (Indian Banking), Crop yield prediction
Phase 5: Deployment & Career Prep (Weeks 21–24)
• Flask, FastAPI, Streamlit, Gradio deployment
• Model APIs, Docker basics
• Resume prep, GitHub portfolio, Interview guidance
• Capstone Projects: Healthcare AI, E-commerce recommender, Smart Farming AI
