DO-MLGAI: Mastering Machine Learning with Generative AI

Mastering Machine Learning with Generative AI: Build, Optimize & Automate with Python is a 2-day hands-on training designed for data scientists, machine learning engineers, and AI enthusiasts looking to streamline ML workflows using cutting-edge Generative AI tools.

Participants will explore how GenAI tools like ChatGPT, Gemini, DeepSeek, Claude, and Copilot can assist in every stage of the ML pipeline—from data preprocessing and feature engineering to model selection, hyperparameter tuning, and pipeline automation.

On Day 1, the focus is on AI-assisted development:

• Introduction to GenAI tools and their role in ML

• Using AI to clean data, extract features, and generate Python code

• Automating model selection, building, and debugging with Scikit-learn

• Optimizing model performance using AI-driven strategies

Day 2 shifts to AI-augmented optimization and automation:

• Hyperparameter tuning via Grid Search, Randomized Search, and Bayesian techniques

• Exploring advanced tools like DeepSeek and Claude for genetic algorithm-based tuning

• Automating entire ML pipelines and deploying AI-assisted notebooks

• Final project: Build and optimize a real-world ML solution with AI support

By the end of the course, learners will be able to:

• Apply GenAI tools to generate and optimize ML code

• Automate data preprocessing and model training workflows

• Use AI to perform complex tuning and debugging tasks

• Deploy smarter ML pipelines with AI-generated scripts

• Understand best practices and ethical considerations for AI in ML

This course is ideal for professionals seeking a productivity boost in model development, or teams aiming to scale ML operations with AI support.