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Machine Learning with Databricks

Welcome to Machine Learning with Databricks!
This course is your gateway to mastering machine learning workflows on Databricks. Dive into data preparation, model development, deployment, and operations, guided by expert instructors. Learn essential skills for data exploration, model training, and deployment strategies tailored for Databricks. By course end, you'll have the knowledge and confidence to navigate the entire machine learning lifecycle on the Databricks platform, empowering you to build and deploy robust machine learning solutions efficiently.


Languages Available: English | 日本語 | Português BR | 한국어

Skill Level
Associate
Duration
16h
Prerequisites

At a minimum, you should be familiar with the following before attempting to take this content:

  • Familiarity with Databricks workspace and notebooks

  • Familiarity with Delta Lake and Lakehouse

  • Intermediate level knowledge of Python

Outline

Data Preparation for Machine Learning

Managing and Exploring Data

Managing and Exploring Data in the Lakehouse

Data Preparation and Feature Engineering

Fundamentals of Data Preparation and Feature Engineering

Data Imputation

Data Encoding

Data Standardization

Feature Store

Introduction to Feature Store


Machine Learning Model Development

Model Development Workflow

Model Development and MLflow

Evaluating Model Performance

Hyperparameter Tuning

Hyperparameter Tuning Fundamentals

Hyperparameter Tuning with Hyperopt

AutoML

Automated Model Development with AutoML


Machine Learning Model Deployment

Model Deployment Fundamentals

Model Deployment Strategies

Model Deployment with MLflow

Batch Deployment

Introduction to Batch Deployment

Pipeline Deployment

Introduction to Pipeline Deployment

Real-time Deployment and Online Stores

Introduction to Real-time Deployment

Databricks Model Serving


Machine Learning Operations

Modern MLOps

Defining MLOps

MLOps on Databricks

Architecting MLOps Solutions

Opinionated MLOps Principles

Recommended MLOps Architectures

Implementation and Monitoring MLOps Solution

MLOps Stacks Overview

Type of Model Monitoring

Monitoring in Machine Learning

Upcoming Public Classes

Date
Time
Language
Price
Jan 20 - 23
09 AM - 01 PM (America/Los_Angeles)
English
$1500.00
Jan 22 - 23
09 AM - 05 PM (Europe/Paris)
English
$1500.00
Feb 11 - 12
09 AM - 05 PM (Australia/Sydney)
English
$1500.00
Feb 12 - 13
09 AM - 05 PM (America/Chicago)
English
$1500.00
Feb 17 - 18
09 AM - 05 PM (Europe/London)
English
$1500.00
Feb 24 - 27
11 AM - 03 PM (Asia/Singapore)
English
$1500.00
Feb 24 - 25
09 AM - 05 PM (Europe/Paris)
German
$1500.00
Feb 24 - 27
02 PM - 06 PM (Europe/Paris)
English
$1500.00
Feb 24 - 27
02 PM - 06 PM (America/New_York)
English
$1500.00
Mar 05 - 06
09 AM - 05 PM (America/Chicago)
English
$1500.00
Mar 10 - 11
09 AM - 05 PM (Australia/Sydney)
English
$1500.00
Mar 10 - 11
09 AM - 05 PM (America/Chicago)
English
$1500.00
Mar 18 - 19
09 AM - 05 PM (Europe/London)
English
$1500.00
Mar 24 - 27
11 AM - 03 PM (Asia/Singapore)
English
$1500.00
Mar 24 - 27
02 PM - 06 PM (Europe/Paris)
English
$1500.00
Mar 24 - 27
02 PM - 06 PM (America/New_York)
English
$1500.00
Apr 01 - 02
09 AM - 05 PM (America/Chicago)
English
$1500.00
Apr 07 - 08
09 AM - 05 PM (America/Chicago)
English
$1500.00
Apr 09 - 10
09 AM - 05 PM (Australia/Sydney)
English
$1500.00
Apr 17 - 18
09 AM - 05 PM (Europe/London)
English
$1500.00
Apr 21 - 24
11 AM - 03 PM (Asia/Singapore)
English
$1500.00
Apr 21 - 24
02 PM - 06 PM (Europe/Paris)
English
$1500.00
Apr 21 - 24
02 PM - 06 PM (America/New_York)
English
$1500.00
May 05 - 06
09 AM - 05 PM (America/Chicago)
English
$1500.00
May 12 - 13
09 AM - 05 PM (Australia/Sydney)
English
$1500.00
May 12 - 13
09 AM - 05 PM (America/Chicago)
English
$1500.00
May 14 - 15
09 AM - 05 PM (Europe/London)
English
$1500.00
May 19 - 22
11 AM - 03 PM (Asia/Singapore)
English
$1500.00
May 26 - 29
02 PM - 06 PM (Europe/Paris)
English
$1500.00
May 27 - 30
02 PM - 06 PM (America/New_York)
English
$1500.00
Jun 02 - 03
09 AM - 05 PM (America/Chicago)
English
$1500.00
Jun 03 - 04
09 AM - 05 PM (Australia/Sydney)
English
$1500.00
Jun 11 - 12
09 AM - 05 PM (Europe/London)
English
$1500.00
Jun 23 - 26
11 AM - 03 PM (Asia/Singapore)
English
$1500.00
Jun 23 - 26
02 PM - 06 PM (Europe/Paris)
English
$1500.00
Jun 23 - 26
02 PM - 06 PM (America/New_York)
English
$1500.00
Jul 01 - 02
09 AM - 05 PM (America/Chicago)
English
$1500.00
Jul 07 - 08
09 AM - 05 PM (America/Chicago)
English
$1500.00
Jul 09 - 10
09 AM - 05 PM (Europe/London)
English
$1500.00
Jul 14 - 15
09 AM - 05 PM (Australia/Sydney)
English
$1500.00
Jul 21 - 24
11 AM - 03 PM (Asia/Singapore)
English
$1500.00
Jul 21 - 24
02 PM - 06 PM (Europe/Paris)
English
$1500.00
Jul 21 - 24
02 PM - 06 PM (America/New_York)
English
$1500.00

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

Register now

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

Purchase now

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

Machine Learning Practitioner

Advanced Machine Learning with Databricks

This course is aimed at data scientists and machine learning practitioners and consists of two, four-hours modules. 

Machine Learning at Scale

In this course, you will gain theoretical and practical knowledge of Apache Spark’s architecture and its application to machine learning workloads within Databricks. You will learn when to use Spark for data preparation, model training, and deployment, while also gaining hands-on experience with Spark ML and pandas APIs on Spark. This course will introduce you to advanced concepts like hyperparameter tuning and scaling Optuna with Spark. This course will use features and concepts introduced in the associate course such as MLflow and Unity Catalog for comprehensive model packaging and governance.

Advanced Machine Learning Operations

In this course, you will be provided with a comprehensive understanding of the machine learning lifecycle and MLOps, emphasizing best practices for data and model management, testing, and scalable architectures. It covers key MLOps components, including CI/CD, pipeline management, and environment separation, while showcasing Databricks’ tools for automation and infrastructure management, such as Databricks Asset Bundles (DABs), Workflows, and Mosaic AI Model Serving. You will learn about monitoring, custom metrics, drift detection, model rollout strategies, A/B testing, and the principles of reliable MLOps systems, providing a holistic view of implementing and managing ML projects in Databricks.

Paid
8h
Lab
instructor-led
Professional

Questions?

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