Module 5: Operationalizing and Maintaining ML Models
Model deployment and automation. Integration into ML systems. Security and
Module 4: Building Regression and Forecasting Models
Linear regression models. Time series forecasting models.
Module 3: Training, Evaluating, and Tuning ML Models
Model training and evaluation. Hyperparameter tuning.
Module 2: Preparing Data
Data collection and transformation. Feature engineering. Working with unstructured data.
Module 1: Solving Business Problems Using AI and ML
Identify solutions for business problems. Formulate machine learning problems. Select
