AWS DeepRacer for Educators
Take students on a tour of machine learning (ML) through the excitement of autonomous racing by going hands-on with AWS DeepRacer, using all new resources to help bring ML into the classroom.
AWS DeepRacer Educator Playbooks
Since 2021, AWS DeepRacer Student has offered students a self-paced solution to learn, practice, and apply machine learning (ML) skills. Educators worldwide requested a way to directly integrate AWS DeepRacer into their classrooms to supplement ML and computer science courses for high school and college students.
The new Educator playbooks provide easy-to-integrate learning objectives, outcomes, and hands-on activity tutorials. These allow educators to enrich the AWS DeepRacer Student experience and customize it to fit their classroom needs. Students can put their ML skills to the test with model training and friendly competition through the global AWS DeepRacer Student league or private community races hosted by their educator.
Educator benefits
With AWS DeepRacer Student, students can learn the fundamentals of ML through self-paced lessons and the ability to go hand-on by applying the concepts to race autonomously in a virtual simulation environment. By racing ML models in the AWS DeepRacer Student League, students can compete to win prizes and scholarships while honing their skills; with no credit card required. All educator resources are offered free of charge to make ML education more accessible to students. Take advantage of the following benefits to help your students get on the ML fast track.
Curated lesson guides
Reduce prep time with customizable lesson plans providing learning objectives, outcomes, and key concepts, to tailor ML curriculum to fit your students' needs.
Flexible classroom integration
Easily integrate into your classroom with activity suggestions that have comprehensive instructions for conducting hands-on labs for both virtual and in-person learning environments.
Host races for your class
Easily set-up and manage your own individual races for your students both in a virtual simulation or with physical devices on a live track.
Classrooms around the globe are going hands-on
University of Kansas bridges the gap between the classroom and real-world ›
Students can experience the thrill of racing autonomous vehicles powered by reinforcement learning models they build and train themselves. In person activations will bring ML to life, as students see their models compete on a live track with a physical AWS DeepRacer device.
Stock up with the AWS DeepRacer storefront
Explore additional ML curriculum
AWS provides free resources for educators and students to further explore machine learning. These include ready-to-teach cloud computing curriculm and self-paced training materials to fit any individual, regardless of where they are in their learning journey.
AWS Academy offers courses and learning resources that enable students to develop a range of skills in the AWS Cloud. Approved educators can access all AWS Academy courses and AWS Academy Learner Labs.
AWS Educate offers hundreds of hours of self-paced training and resources for new-to-cloud learners—including hands-on labs in the AWS Management Console.
Machine Learning University (MLU) provides anybody, anywhere, at any time access to the same machine learning courses used to train Amazon’s own developers on ML.