Machine Learning: Exam Preparation
Prepare for the AWS Certified Machine Learning – Specialty exam
This learning path is designed specifically for individuals preparing to take the AWS Certified Machine Learning – Specialty exam. In addition to these self-paced digital training courses, we recommend one or more years of hands-on experience using machine learning (ML) services on AWS.
Get AWS Certified
The new AWS Certified Machine Learning - Specialty certification was created by AWS experts and validates in-demand skills required to build and tune data models. Differentiate yourself and your organization in this growing field. Point to exam page.
Machine Learning Exam Basics
Explore the services for building, training, and deploying models at scale. Hear from Amazon’s own data scientists about how to consider ML business challenges and decisions.
Storage Deep Dive Learning Path
Progress from the fundamentals to technical deep dives to advance your AWS storage expertise and help your organization migrate to the cloud faster.
Big Data on AWS
Big Data on AWS introduces you to cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis and the rest of the AWS big data platform.
Process Model: CRISP-DM on the AWS Stack
Walk through the CRISP-DM methodology and framework and then apply the model's six phases to your daily work.
Deep Learning on AWS
In this one-day course, you will learn cloud-based deep learning solutions on the AWS platform. You will learn how to run your models on the cloud using Amazon EC2‒based deep learning Amazon Machine Image and Apache MXNet on AWS frameworks.
The Elements of Data Science
Learn to build and continuously improve machine learning models.