AWS DeepRacer League F1 ProAm Event
During the May 2020 virtual circuit race, developers from around the world tested their ML skills against F1 professionals in the F1 ProAm DeepRacer event, via the AWS DeepRacer console. Join the AWS DeepRacer league to compete for prizes and glory while advancing your ML skills!
AWS DeepRacer League F1 ProAm Event
During the May 2020 virtual circuit race, developers from around the world tested their ML skills against F1 professionals in the F1 ProAm DeepRacer event, via the AWS DeepRacer console. Join the AWS DeepRacer league to compete for prizes and glory while advancing your ML skills!
Join F1 professionals as they document their strategy and take developers on a learning journey, as they apply real life racing strategies and science to the autonomous racing world. See how your ML skills measure up as they progress from Time Trial racing to the final Head-to-Head elimination in the Virtual Circuit.
Occupation: F1 Driver
Country: Australia
A 10-year veteran and proven Grand Prix winner within the sport, Daniel has seen notable success across his tenure in FORMULA 1, securing 29 podiums and seven victories. The Australian combines all-out speed with impressive driving craft. Never afraid to push the limits and considered to be the king of overtakes, aka The Honey Badger.
Occupation: F1 Test Driver
Country: Colombia
Tatiana is a woman who breaks the mould. At the age of just nine, she found her passion in the world of motorsport and decided to adopt it as her lifestyle and pursue a professional career as a racing driver. Moving from her native Colombia to Europe in order to race her way up through the singleseater ladder with the dream of reaching the pinnacle of motorsport, Tatiana raced in the F1-support GP3 Series from 2016 to 2018.
Occupation: Chief Technical Engineer - F1 Performance Engineering and Analysis
Country: United Kingdom
Join F1 professionals as they document their strategy and take developers on a learning journey, as they apply real life racing strategies and science to the autonomous racing world. See how your ML skills measure up as they progress from Time Trial racing to the final Head-to-Head elimination in the Virtual Circuit.
Occupation: F1 Driver
Country: Australia
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Bio »
A 10-year veteran and proven Grand Prix winner within the sport, Daniel has seen notable success across his tenure in FORMULA 1, securing 29 podiums and seven victories. The Australian combines all-out speed with impressive driving craft. Never afraid to push the limits and considered to be the king of overtakes, aka The Honey Badger.
Occupation: F1 Test Driver
Country: Colombia
-
Bio »
Tatiana is a woman who breaks the mould. At the age of just nine, she found her passion in the world of motorsport and decided to adopt it as her lifestyle and pursue a professional career as a racing driver. Moving from her native Colombia to Europe in order to race her way up through the singleseater ladder with the dream of reaching the pinnacle of motorsport, Tatiana raced in the F1-support GP3 Series from 2016 to 2018.
Occupation: Chief Technical Engineer - F1 Performance Engineering and Analysis
Country: United Kingdom
Follow along as F1 professionals Daniel and Tatiana develop their machine learning skills with AWS DeepRacer. Each week they'll take on new challenges with the guidance of AWS Machine Learning expert coaches to develop their very own models to compete in the F1 virtual event.
Follow along as F1 professionals Daniel and Tatiana develop their machine learning skills with AWS DeepRacer. Each week they'll take on new challenges with the guidance of AWS Machine Learning expert coaches to develop their very own models to compete in the F1 virtual event.
In their first week, watch as the FORMULA 1 professionals get introduced to reinforcement learning and submit their models to the Time Trial leaderboard.
Week 2 kicks off with FORMULA 1 professionals advancing their machine learning knowledge to climb the Time Trial leaderboard.
Watch as the pro's Time Trial and Object Avoidance models get faster — preparing for their first taste of head-to-head racing.
In week 4, it's Daniel, Tatiana, and Rob's last chance to improve their models before the Grand Prix. Watch as they use FORMULA 1 insights like pole position and turn strategy to trim precious seconds.
Week 5: 12 racers. 10 laps. One winner. It's the AWS Virtual Grand Prix—watch as Daniel, Tatiana, and Rob put all of their learning to the test against the best in the DeepRacer League, competing for a special prize.
Can’t get enough F1? Rejoin our AWS DeepRacer experts, Brian Townsend and Eddie Calleja, along with F1’s Rob Smedley as we dive deeper into the machine learning strategies employed by the pros during Grand Prix.
The May race of the 2020 AWS DeepRacer Virtual Circuit took place on a replica of the official F1 Spanish Grand Prix track. The top 10 qualifying developers in the Head-to-Head format faced off against Daniel and Tatiana in the first ever AWS DeepRacer League ProAm Grand Prix, consisting of all 12 participants racing 10 laps simultaneously.
The first racer to complete the race qualified for the chance to compete in the AWS DeepRacer Championships and won the F1 ProAm Grand Prize: the chance to come and watch the world of Formula 1 in real life at an F1 Grand Prix. The F1 race is officially closed, however you can still race in the AWS DeepRacer League online each month through October for your chance to win prizes and glory!
The May race of the 2020 AWS DeepRacer Virtual Circuit took place on a replica of the official F1 Spanish Grand Prix track. The top 10 qualifying developers in the Head-to-Head format faced off against Daniel and Tatiana in the first ever AWS DeepRacer League ProAm Grand Prix, consisting of all 12 participants racing 10 laps simultaneously.
The first racer to complete the race qualified for the chance to compete in the AWS DeepRacer Championships and won the F1 ProAm Grand Prize: the chance to come and watch the world of Formula 1 in real life at an F1 Grand Prix. The F1 race is officially closed, however you can still race in the AWS DeepRacer League online each month through October for your chance to win prizes and glory!
Offer: Until May 31, 2020 you can train and evaluate your AWS DeepRacer models for free. Terms and Conditions apply.
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Start training a model »
Whether you're new to machine learning or want to build on existing skills, train your AWS DeepRacer model to compete in the league. Login in to the console or start with the 90 minute e-learning course »
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Take your model to the track to compete »
Take to the track to test your skills against F1 pros in time trial, object avoidance, and head-to-head racing via the AWS DeepRacer Console »
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Qualify for the grand final »
The pros with the best head-to-head lap time on May 31 advanced to an exciting elimination against the developers to see who takes the win. Race for prizes and glory »
-
Start training a model »
Whether you're new to machine learning or want to build on existing skills, train your AWS DeepRacer model to compete in the league. Login in to the console or start with the 90 minute e-learning course »
-
Take your model to the track to compete »
Take to the track to test your skills against F1 pros in time trial, object avoidance, and head-to-head racing via the AWS DeepRacer Console »
-
Qualify for the grand final »
The pros with the best head-to-head lap time on May 31 advanced to an exciting elimination against the developers to see who takes the win. Race for prizes and glory »
Explore the portfolio of educational devices designed for developers of all skill levels to learn ML in fun, practical ways. Get started with reinforcement learning with AWS DeepRacer, learn how to build deep learning-based computer vision apps with AWS DeepLens, and express your creativity through generative AI with AWS DeepComposer.
Information on AWS DeepRacer League Rules and eligibility requirements.
Information on AWS DeepRacer pricing and integration with other AWS services.