Applied Data Science with AI
400 Hours 23+ Skills 6 Months
Practical ML from data preprocessing to model deployment. Covers supervised, unsupervised, and reinforcement learning with real industry datasets.
Curriculum Highlights
- Python, NumPy & Pandas
- Exploratory Data Analysis (EDA)
- Supervised Learning (Regression, Classification)
- Unsupervised Learning & Clustering
- Feature Engineering & Selection
- Deep Learning Foundations (TensorFlow)
- Model Optimization & Hyperparameter Tuning
- ML Model Deployment (Flask, Docker, AWS)
ModeOnline / Offline
Projects15+ Industry Projects
CertificationNASSCOM + Industry
SupportPlacement Assistance
