Get Started with Databricks for Machine Learning
In this course, you will learn basic skills that will allow you to use the Databricks Data Intelligence Platform to perform a simple data science and machine learning workflow. You will be given a tour of the workspace, and you will be shown how to work with notebooks. You will explore exploratory data analysis and feature engineering, track and manage models with MLflow, experiment using Databricks Genie Code, and deploy a model with Databricks Model Serving. Finally, the course brings these skills together in a comprehensive lab covering the end-to-end machine learning.
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
• Databricks Data Intelligence Platform
• 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 |
|---|---|---|---|---|
Sep 24 | 12 PM - 02 PM (Asia/Singapore) | - | English | Free |
Oct 07 | 09 AM - 11 AM (America/Los_Angeles) | - | English | Free |
Oct 14 | 12 PM - 02 PM (Asia/Singapore) | - | English | Free |
Nov 05 | 09 AM - 11 AM (America/Los_Angeles) | - | English | Free |
Dec 10 | 09 AM - 11 AM (America/Los_Angeles) | - | English | Free |
Dec 17 | 12 PM - 02 PM (Asia/Singapore) | - | English | Free |
Jan 14 | 09 AM - 11 AM (America/Los_Angeles) | - | English | Free |
Jan 28 | 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.
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