Get Started with Databricks for Machine Learning
In this course, you will develop the foundational skills needed to use the Databricks Data Intelligence Platform for executing basic machine learning workflows and supporting data science workloads. You will explore the platform from the perspective of a machine learning practitioner, covering topics such as feature engineering with Databricks Notebooks and model lifecycle tracking with MLflow. Additionally, you will learn about real-time model inference with Mosaic AI Model Serving and experience Databricks’ “glass box” approach to model development through AutoML. The course includes three instructor-led demonstrations, culminating in a comprehensive lab that reinforces the concepts covered in the demos.
Languages Available: English | 日本語 | Português BR | 한국어
A beginner-level understanding of Python.
Basic understanding of DS/ML concepts (e.g. classification and regression models), common model metrics (e.g. F1-score), and Python libraries (e.g. scikit-learn and XGBoost).
Outline
Databricks Overview
- Databricks Data Intelligence Platform
- Demo: Databricks Workspace Walkthrough
Using Databricks for Machine Learning
- Introduction to Machine Learning with Databricks
- Exploratory Data Analysis (EDA) and Feature Engineering on Databricks
- Demo: EDA and Feature Engineering
- Introduction to MLflow on Databricks
- Demo: Tracking and Managing Models with MLflow
- Introduction to Mosaic AI AutoML
- Demo: Experimentation with Mosaic AI AutoML
- Introduction to Mosaic AI Model Serving
- Demo: Getting Started with Mosaic AI Model Serving
- Comprehensive Lab: Getting Started with Databricks for ML
Upcoming Public Classes
Date | Time | Language | Price |
---|---|---|---|
May 27 | 12 PM - 02 PM (Asia/Singapore) | English | Free |
May 28 | 03 PM - 05 PM (Europe/London) | English | Free |
Jun 02 | 10 AM - 12 PM (Asia/Kolkata) | English | Free |
Jun 05 | 03 PM - 05 PM (Europe/London) | English | Free |
Jun 05 | 09 AM - 11 AM (America/Los_Angeles) | English | Free |
Jun 20 | 09 AM - 11 AM (America/Los_Angeles) | English | Free |
Jun 23 | 02 PM - 04 PM (Asia/Kolkata) | English | Free |
Jun 23 | 12 PM - 02 PM (Europe/London) | English | Free |
Jun 24 | 12 PM - 02 PM (Asia/Singapore) | English | Free |
Jul 01 | 02 PM - 04 PM (Asia/Kolkata) | English | Free |
Jul 03 | 09 AM - 11 AM (America/Los_Angeles) | English | Free |
Jul 08 | 03 PM - 05 PM (Europe/London) | English | Free |
Jul 11 | 09 AM - 11 AM (America/Los_Angeles) | English | Free |
Jul 15 | 02 PM - 04 PM (Asia/Kolkata) | English | Free |
Jul 21 | 12 PM - 02 PM (Asia/Singapore) | English | Free |
Jul 21 | 03 PM - 05 PM (Europe/London) | English | Free |
Jul 30 | 02 PM - 04 PM (Asia/Kolkata) | English | Free |
Aug 01 | 12 PM - 02 PM (Asia/Singapore) | English | Free |
Aug 01 | 09 AM - 11 AM (America/Los_Angeles) | English | Free |
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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