Lilly Tech Systems
Learn AutoML
Automate the machine learning pipeline — from feature engineering and model selection to hyperparameter tuning. Master Auto-sklearn, H2O, TPOT, and cloud AutoML platforms — all for free.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
What is AutoML? Automated pipelines, hyperparameter optimization, and neural architecture search.
2. AutoML Tools
Overview of TPOT, Optuna, Ray Tune, Hyperopt, and the AutoML ecosystem.
3. Auto-sklearn
Meta-learning, Bayesian optimization, and automated model selection with Auto-sklearn.
4. H2O AutoML
H2O's AutoML platform for scalable automated machine learning with stacked ensembles.
5. Cloud AutoML
Google Vertex AI AutoML, Azure Automated ML, and AWS SageMaker Autopilot.
6. Best Practices
When to use AutoML vs manual ML, limitations, interpretability, and production workflows.
What You'll Learn
By the end of this course, you will be able to:
Automate ML Pipelines
Use AutoML tools to automatically preprocess data, select models, and tune hyperparameters.
Choose the Right Tool
Compare Auto-sklearn, H2O, TPOT, and cloud platforms to pick the best fit for your project.
Optimize Effectively
Understand Bayesian optimization, random search, and neural architecture search techniques.
Deploy AutoML Models
Take AutoML-generated models to production with proper validation and monitoring.