AWS DeepRacer is the fastest way to embark on your machine learning journey, literally. 

Middle and high school students, as well as developers of all skill levels, including those with no prior machine learning experience, can benefit from participating in the DeepRacer Student League.  By engaging in hands-on training, you will construct self-driving cars to compete for prices and race for glory!

To get started, join the club and first race against your local classmates and peers. Thereafter, start competiting against other students at the national, regional, and global levels. Races are organized every month. Earn points, prizes, trophies, scholarships, and most importantly bragging rights!

Test these new found skills in our 3D racing simulator. Experiment with multiple sensor inputs, the latest reinforcement learning algorithms, neural network configurations and simulation to-real domain transfer methods.

Then get ready to go where the rubber meets the road.

AWS DeepRacer is an autonomous 1/18th scale race car designed to test RL models by racing on a physical track. Using cameras to view the track and a reinforcement model to control throttle and steering, the car shows how a model trained in a simulated environment can be transferred to the real-world.

So are you ready to hack your hardware? Head-to-head racing and object avoidance requires to fully equip your car with stereo cameras and LiDAR sensors. You may know how to program, but do you have what it takes to hack hardware?

In self-driving car races, there are winners, but many more losers.