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Databricks Get Started Days (Data Engineering + Machine Learning)

Get Started with Databricks for Data Engineering

In this course, you will learn basic skills that will allow you to use the Databricks Data Intelligence Platform to perform a simple data engineering workflow and support data warehousing endeavors. You will be given a tour of the workspace and be shown how to work with objects in Databricks such as catalogs, schemas, volumes, tables, compute clusters, and notebooks. You will then follow a basic data engineering workflow to perform tasks such as creating and working with tables, ingesting data into Delta Lake, transforming data through the medallion architecture, and using Databricks Workflows to orchestrate data engineering tasks. You’ll also learn how Databricks supports data warehousing needs through the use of Databricks SQL, Delta Live Tables, and Unity Catalog. With the purchase of a Databricks Labs subscription, the course also closes out with a comprehensive lab exercise to practice what you’ve learned in a live Databricks Workspace environment.


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.


You can create a Databricks Free Edition account and try the follow-along demos in a hands-on environment.

Skill Level
Onboarding
Duration
4h
Prerequisites

Get Started with Databricks for Data Engineering

  • A basic understanding of data engineering principles and topics such as data collection, extraction, ingestion, and transformation.


Get Started with Databricks for Machine Learning

  • 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

Get Started with Databricks for Data Engineering


Databricks Overview

Databricks Data Intelligence Platform

Demo: Databricks Workspace Walkthrough


Using Databricks for Data Engineering

Introduction to Data Engineering

LakeFlow Overview

Delta Lake Overview

Demo: Creating and Working with a Delta Table

Lakeflow Connect Ingestion Techniques Overview

Demo: Ingesting Data into Delta Lake

Data Transformation Overview

Demo: Transforming Data Using the Medallion Architecture

Performing ETL with DLT

Unified Orchestration Using Lakeflow Jobs

Demo: Creating a Simple Databricks LakeFlow Job

Lab: Ingest and Manipulate a Delta Table



Get Started with Databricks for Machine Learning


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
  • DemoGetting Started with Mosaic AI Model Serving
  • Comprehensive Lab: Getting Started with Databricks for ML

Upcoming Public Classes

Date
Time
Your Local Time
Language
Price
Aug 28
09 AM - 01 PM (America/Los_Angeles)
-
English
Free
Sep 23
11 AM - 03 PM (Asia/Singapore)
-
English
Free
Sep 25
01 PM - 05 PM (Europe/London)
-
English
Free
Sep 30
09 AM - 01 PM (America/Los_Angeles)
-
English
Free
Oct 23
11 AM - 03 PM (Asia/Singapore)
-
English
Free
Oct 28
01 PM - 05 PM (Europe/London)
-
English
Free
Oct 30
09 AM - 01 PM (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.

See all our registration options

Registration options

Databricks has a delivery method for wherever you are on your learning journey

Runtime

Self-Paced

Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos

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Instructors

Instructor-Led

Public and private courses taught by expert instructors across half-day to two-day courses

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Learning

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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Scale

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

Upcoming Public Classes

Questions?

If you have any questions, please refer to our Frequently Asked Questions page.