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 Mosaic AI Feature Engineering, 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 AI 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.
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
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
• Introduction to MLflow for Lifecycle Management
• Demo: Tracking and Managing Models with MLflow
• Introduction to Data Science Agent Mode
• Demo: Experimentation with Genie Code (Agent Mode)
• Introduction to Databricks AI Model Serving
• Demo: Getting Started with Databricks AI Model Serving
• Lab: Getting Started with Databricks for Machine Learning
• Knowledge Check, Closing Statements, and CTA
Upcoming Public Classes
Date | Time | Your Local Time | Language | Price |
|---|---|---|---|---|
Jun 16 | 03 PM - 05 PM (Europe/London) | - | English | Free |
Jul 15 | 12 PM - 02 PM (Asia/Singapore) | - | English | Free |
Jul 17 | 09 AM - 11 AM (America/Los_Angeles) | - | English | Free |
Jul 31 | 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.
Registration options
Databricks has a delivery method for wherever you are on your learning journey
Self-Paced
Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
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Public and private courses taught by expert instructors across half-day to two-day courses
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Blended Learning
Self-paced and weekly instructor-led sessions for every style of learner to optimize course completion and knowledge retention. Go to Subscriptions Catalog tab to purchase
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Skills@Scale
Comprehensive training offering for large scale customers that includes learning elements for every style of learning. Inquire with your account executive for details
