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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. 

Skill Level
Professional
Duration
4h
Prerequisites

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

Machine Learning Development with Spark

A Brief Overview of Spark Architecture for Machine Learning

Introduction to Spark ML for Model Development

Model Tracking and Packaging with MLflow and Unity Catalog on Databricks

Model Development with Spark

Distributed Model Tuning on Databricks

Overview of Hyperparameter Tuning

Scalable HPO Frameworks on Databricks

Optuna and Hyperopt with Spark ML

HPO with Ray Tune

Deploying Machine Learning Models with Spark

Deployment with Spark

Inference with Spark

Model Deployment with Spark

Optimization Strategies with Spark and Delta Lake

Model Deployment with Spark

Pandas on Spark

Scaling with Pandas APIs

Pandas UDFs and Function APIs

Pandas APIs

Upcoming Public Classes

Date
Time
Language
Price
Aug 19
09 AM - 01 PM (Europe/London)
English
$750.00
Sep 08
01 PM - 05 PM (Europe/London)
English
$750.00
Sep 10
09 AM - 01 PM (Asia/Kolkata)
English
$750.00
Sep 11
01 PM - 05 PM (America/New_York)
English
$750.00
Oct 27
01 PM - 05 PM (Asia/Singapore)
English
$750.00
Oct 30
09 AM - 01 PM (Europe/London)
English
$750.00
Oct 31
01 PM - 05 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

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

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.