Machine Learning Model Development
This comprehensive course provides a practical guide to developing traditional machine learning models on Databricks, emphasizing hands-on demonstrations and workflows using popular ML libraries. Participants will explore key ML techniques, including regression and clustering, while leveraging Databricks’ powerful capabilities. The course covers MLflow integration for model tracking, Databricks Feature Store for feature management, and Optuna for hyperparameter tuning. Additionally, participants will learn how to accelerate model training with Databricks AutoML. By the end of the course, learners will have real-world, practical skills to develop, optimize, and deploy machine learning models efficiently in the Databricks environment.
Languages Available: English | 日本語 | Português BR | 한국어
At a minimum, you should be familiar with the following before attempting to take this content:
- Knowledge of fundamental concepts in ML (e.g. regression vs classification models)
- Familiarity with the Databricks Workspace, Notebooks
- Intermediate-level knowledge of Python
- Basic knowledge of ML libraries (e.g. scikit-learn)
- Familiarity with Unity Catalog and MLflow is a plus
Outline
- Model Development and MLflow
- Evaluating Model Performance
- Hyperparameter Tuning Fundamentals
- Hyperparameter Tuning with Hyperopt
- Automated Model Development with AutoML
Upcoming Public Classes
Date | Time | Language | Price |
|---|---|---|---|
Apr 25 | 09 AM - 01 PM (America/New_York) | English | $750.00 |
May 19 | 09 AM - 01 PM (Asia/Kolkata) | English | $750.00 |
May 20 | 01 PM - 05 PM (America/New_York) | English | $750.00 |
Jun 25 | 09 AM - 01 PM (Europe/London) | English | $750.00 |
Jun 26 | 01 PM - 05 PM (Asia/Kolkata) | English | $750.00 |
Jun 27 | 09 AM - 01 PM (America/New_York) | English | $750.00 |
Jul 21 | 01 PM - 05 PM (America/New_York) | English | $750.00 |
Jul 24 | 01 PM - 05 PM (Europe/London) | English | $750.00 |
Jul 25 | 09 AM - 01 PM (Asia/Kolkata) | English | $750.00 |
Public Class Registration
If your company has purchased success credits or has a learning subscription, please fill out the Training Request form. Otherwise, you can register below.
Private Class Request
If your company is interested in private training, please submit a request.
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