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 years of experience building, training, tuning, and deploying ML models using the AWS Cloud with an AWS Certification.
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.
Pick Your Learning Path
Business Decision Maker
Demystify machine learning (ML), artificial intelligence (AI), and deep learning (DL)
Learn about advanced machine learning machine learning (ML) modeling and artificial intelligence (AI) workloads
Dig deep into the math, science, and statistics behind machine learning (ML)
Learn to integrate machine learning (ML) and artificial intelligence (AI) into tools and applications
Featured Machine Learning Courses
The Machine Learning Pipeline on AWS
Learn to use the machine learning pipeline to solve a real business problem in a project-based learning environment.
Classroom (virtual or in person) | 4 hours
Exam Readiness: AWS Certified Machine Learning – Specialty
In this half-day, intermediate-level workshop, we will explore the AWS Certified Machine Learning - Specialty exam’s topic areas, show how they relate to machine learning on AWS, and map them to machine learning (ML) and deep learning (DL) foundational areas for future self-study.
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.
Classroom (virtual or in person) | 1 day
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.
Digital | 70 minutes
AWS DeepRacer: Driven by Reinforcement Learning
Build, train, and deploy models to develop your core ML skills.
Digital | 90 minutes
Machine Learning for Business Challenges
ML and artificial intelligence is creating new opportunities for organizations.
Digital | 1 hour