Start Training on Machine Learning with AWS
Dive deep into the same Machine learning (ML) curriculum used to train Amazon’s developers and data scientists. We offer 65+ ML training courses totaling 50+ hours, plus hands-on labs and documentation, originally developed for Amazon's internal use. Developers, data scientists, data platform engineers, and business decision makers can use this training to learn how to apply ML, artificial intelligence (AI), and deep learning (DL) to their businesses unlocking new insights and value. Validate your learning and your years of experience in Machine Learning on AWS with a new certification.
Now Available: AWS Certified Machine Learning - Specialty Exam
Free Digital Training
Start building your ML skills with on-demand, flexible digital training—available now at no cost.
Tailored Learning Paths
Take training designed to fit your specific ML goals with one of our four learning paths. We also created a path designed to help developers and data scientists prepare for our ML certification.
Get AWS Certified
The 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.
Featured Machine Learning Courses
Practical Data Science with Amazon SageMaker
Explore real-world use cases with Machine Learning (ML) and using Amazon SageMaker in the new 1-day classroom training course.
Amazon SageMaker: Build an Object Detection Model Using Images Labeled with Ground Truth
Learn how to implement a machine learning pipeline using Amazon SageMaker and Amazon SageMaker Ground Truth.
AWS DeepRacer: Driven by Reinforcement Learning
Build, train, and deploy models to develop your core ML skills.
Machine Learning for Business Challenges
ML and artificial intelligence is creating new opportunities for organizations.
Math for Machine Learning
Access the same machine learning training previously used to train Amazon's developers.
The Elements of Data Science
Go deep into the data science behind ML and AI.