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 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 building and managing features with Feature Engineering in Unity Catalog, end-to-end model lifecycle management with MLflow, and pipeline orchestration with Lakeflow Jobs. Additionally, you will learn about real-time model inference with Databricks Model Serving and experience Databricks' transparent, conversational approach to model development through Genie Code - Data Science Agent Mode, where you use natural language prompts to generate, run, and iteratively refine executable ML workflows directly in your notebook. The course includes instructor-led demonstrations, culminating in a comprehensive lab that reinforces the concepts covered throughout.
You can create a Databricks Free Edition account and try the follow-along demos in a hands-on environment.
Note: Databricks Academy is transitioning to a notebook-based format for classroom sessions within the Databricks environment, discontinuing the use of slide decks for lectures. You can access the lecture notebooks in the Vocareum lab environment.
Languages Available: English | 日本語 | Português BR | 한국어
In this course, the content was developed for participants with these skills/knowledge/abilities:
• 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
1. Databricks Overview
• Demo: Databricks Workspace Walkthrough
2. Using Databricks for Machine Learning
• Introduction to Machine Learning with Databricks
• Demo: Exploratory Data Analysis (EDA) and Feature Engineering on Databricks
• Demo: MLflow for Lifecycle Management
• Demo: Genie Code for ML
• Demo: Databricks Model Serving
• Lab: Getting Started with Databricks for ML
Upcoming Public Classes
Date | Time | Your Local Time | Language | Price |
|---|---|---|---|---|
Aug 14 | 12 PM - 02 PM (Asia/Singapore) | - | English | Free |
Sep 11 | 09 AM - 11 AM (America/Los_Angeles) | - | English | Free |
Oct 07 | 09 AM - 11 AM (America/Los_Angeles) | - | English | Free |
Oct 14 | 12 PM - 02 PM (Asia/Singapore) | - | 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.
Registration options
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Comprehensive training offering for large scale customers that includes learning elements for every style of learning. Inquire with your account executive for details
