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Machine Learning Model Deployment

This course is designed to introduce three primary machine learning deployment strategies and illustrate the implementation of each strategy on Databricks. Following an exploration of the fundamentals of model deployment, the course delves into batch inference, offering hands-on demonstrations and labs for utilizing a model in batch inference scenarios, along with considerations for performance optimization. The second part of the course comprehensively covers pipeline deployment, while the final segment focuses on real-time deployment. Participants will engage in hands-on demonstrations and labs, deploying models with Model Serving and utilizing the serving endpoint for real-time inference.


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

Skill Level
Associate
Duration
4h
Prerequisites

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

- Knowledge of fundamental machine learning models

- Knowledge of model lifecycle and MLflow components

- Familiarity with Databricks workspace and notebooks

- Intermediate level knowledge of Python

Outline

Model Deployment Fundamentals=

Model Deployment Strategies

Model Deployment with MLflow


Batch Deployment 

Introduction to Batch Deployment
Demo: Batch Deployment

Lab: Batch Deployment


Pipeline Deployment 

Introduction to Pipeline Deployment

Demo: Pipeline Deployment


Machine Learning Model Deployment Design Document

Introduction to Real-time Deployment

Databricks Model Serving

Demo: Real-time Deployment with Model Serving
Demo: Custom Model Deployment with Model Serving

Lab: Real-time Deployment with Model Serving

Upcoming Public Classes

Date
Time
Language
Price
Aug 07
09 AM - 01 PM (America/New_York)
English
$750.00
Aug 08
09 AM - 01 PM (Europe/London)
English
$750.00
Sep 01
01 PM - 05 PM (Asia/Singapore)
English
$750.00
Sep 02
01 PM - 05 PM (America/New_York)
English
$750.00
Sep 05
01 PM - 05 PM (Europe/London)
English
$750.00
Oct 06
09 AM - 01 PM (Asia/Kolkata)
English
$750.00
Oct 06
09 AM - 01 PM (Europe/London)
English
$750.00
Oct 07
09 AM - 01 PM (America/New_York)
English
$750.00

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

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Skills@Scale

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Upcoming Public Classes

Data Analyst

Data Analysis with Databricks

This course provides a comprehensive introduction to Databricks SQL. Learners will ingest data, write queries, produce visualizations and dashboards, and configure alerts. This course will prepare you to take the Databricks Certified Data Analyst Associate exam.

This course consists of two four-hour modules. 

SQL Analytics on Databricks

In this course, you'll learn how to effectively use Databricks for data analytics, with a specific focus on Databricks SQL. As a Databricks Data Analyst, your responsibilities will include finding relevant data, analyzing it for potential applications, and transforming it into formats that provide valuable business insights. 

You will also understand your role in managing data objects and how to manipulate them within the Databricks Data Intelligence Platform, using tools such as Notebooks, the SQL Editor, and Databricks SQL. 

Additionally, you will learn about the importance of Unity Catalog in managing data assets and the overall platform. Finally, the course will provide an overview of how Databricks facilitates performance optimization and teach you how to access Query Insights to understand the processes occurring behind the scenes when executing SQL analytics on Databricks.

AI/BI for Data Analysts

In this course, you’ll learn how to use the features Databricks provides for business intelligence needs: AI/BI Dashboards and AI/BI Genie. As a Databricks Data Analyst, you will be tasked with creating AI/BI Dashboards and AI/BI Genie Spaces within the platform, managing the access to these assets by stakeholders and necessary parties, and maintaining these assets as they are edited, refreshed, or decommissioned over the course of their lifespan. This course intends to instruct participants on how to design dashboards for business insights, share those with collaborators and stakeholders, and maintain those assets within the platform. Participants will also learn how to utilize AI/BI Genie Spaces to support self-service analytics through the creation and maintenance of these environments powered by the Databricks Data Intelligence Engine.

Languages Available: English | 日本語 | Português BR | 한국어
Paid
8h
Lab
instructor-led
Associate

Questions?

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