Day 1: Building Predictive Models with AI Assistance

Module 1: Introduction to Generative AI in ML

Module 2: Data Preprocessing & Feature Engineering with AI

Module 3: Building Machine Learning Models with Python

Module 4: Fine-Tuning and Debugging ML Models

Day 2: Hyperparameter Tuning & AI-Driven Optimization

Module 5: Hyperparameter Tuning with AI

Introduction to hyperparameter tuning and optimization
Using AI to generate hyperparameter tuning scripts
Hands-on: Optimizing model performance with Grid Search CV and Randomized Search CV

Module 6: Advanced AI-Assisted Optimization Techniques

Module 7: Automating ML Workflows with AI

Module 8: Real-World Applications and Future Trends

Case studies: How companies use AI to accelerate ML model development
Ethical considerations and best practices for AI in ML
Hands-on: Final project – Building and optimizing a predictive model with AI assistance.

DO-MLGAI: Mastering Machine Learning with Generative AI