Serverless Machine Learning with Amazon Redshift ML
Create, train, and deploy machine learning models using familiar SQL commands
DPSJ+1Created by Phil Bates, Debu Panda, Sumeet Joshi and 1 more
Explore how to build, train, and deploy machine learning models directly within Amazon Redshift using familiar SQL commands. Learn to streamline data analytics and machine learning workflows without managing infrastructure. Gain practical skills for running predictions at scale in a serverless environment.
Packt | Aug 2023 | 290 min
What You Will Learn
You will start by setting up Redshift Serverless and exploring its core features. Step by step, you will use SQL to create, train, and deploy machine learning models for tasks like classification, regression, and clustering. Practical examples and clear explanations guide you through running predictions and operationalizing ML in your data warehouse.
Key Features
- Train classification, regression, and clustering models using only SQL commands
- Deploy and run machine learning models at scale with Redshift Serverless
- Apply time series forecasting and model explainability to real-world datasets
Target Audience
Ideal for data scientists and developers with experience in Amazon Redshift and a basic understanding of machine learning. If you want to expand your skills by building and deploying models using SQL in a serverless environment, this course will help you achieve those goals efficiently.
