AWS DeepRacer enables builders of all skill levels to improve their skills and get started with machine learning

Machine Learning


In today's technology landscape, artificial intelligence (AI) and machine learning (ML) have become increasingly accessible, allowing builders of all skill levels to harness their power. As more companies implement AI solutions, there is a growing need to upskill both technical and non-technical teams to responsibly scale the use of AI. Gaining hands-on experience is key to understanding and applying ML concepts to automate tasks such as content generation, language translation, and image classification. That's where AWS DeepRacer comes into play. This is a fun and exciting way to learn the basics of ML.

Launched in 2019, DeepRacer enables builders of all skill levels to learn and perform model training and evaluation tasks such as defining reward functions, setting training parameters, and configuring training jobs that can be evaluated and monitored. Fully managed service. Check the performance of your model in a simulated environment. By exploring the AWS DeepRacer ML training lifecycle, practice training, evaluating, and deploying a ML model to a 1/18 scale autonomous race car using a human-immersed experience. The model training and evaluation experience familiarizes builders with similar concepts that can be applied to training and fine-tuning fundamental models (FMs) that power generative AI applications.

AWS DeepRacer also offers a global racing league for you to compete alongside a community of ML enthusiasts, earning rewards and recognition while showing off your ML skills. Through the AWS DeepRacer League, we have educated over 550,000 developers, crowned 5 AWS DeepRacer Champions, recognized over 100 monthly virtual circuit winners, and reached over 10,000 participants worldwide with Amazon We've awarded gift cards, cash prizes, and paid trips to AWS re:Invent. As usual, he competes in the AWS DeepRacer Championship Cup.

The excitement about AWS DeepRacer extends far beyond individual learners. To celebrate Women's History Month, JPMorgan Chase recently hosted the “World's Largest Global Women's AWS DeepRacer League,” providing employees with a thrilling opportunity to gain hands-on ML experience through virtual self-driving car races. did. The event not only fostered a spirit of friendly competition, but also celebrated empowerment and innovation in AI and ML. By adopting AWS DeepRacer, JPMorgan Chase demonstrates its commitment to democratizing ML knowledge and fostering a culture of continuous learning, empowering a talented team to drive the company's AI transformation. did.

“I'm so proud of this group, the company, and the TIF (Take it Forward) team. . . . I couldn't be more proud of a group of individuals acting so spontaneously. The sky is the limit from here! Deep Racer proves that learning can be fun!

– Ebele Kemeri, Head of Data and AI Learning, JPMorgan Chase Tech.

Initiatives like this demonstrate the far-reaching impact that AWS DeepRacer will have in bringing ML education to the forefront and inspiring learners of all backgrounds to embrace the future of intelligent technology.

Whether you're an experienced developer or a curious business professional, AWS DeepRacer offers a fun and exciting way to get started with AI. Learn practical skills that you can apply to real-world ML and generative AI use cases. So get started with machine learning today!


About the author

Ange Krueger is a Principal Engineer at AWS. She leads product portfolio advancement and technological agility within the global financial sector. Leverage our 200+ AWS cloud services, including our leading AWS artificial intelligence, machine learning, and generative AI products, to innovate, transform, and scale to precisely meet the complex demands of customers around the world. We provide solutions. Ange enhances customer experiences and achieves optimized business performance through a collaborative approach and a relentless focus on customer-centric outcomes. Her commitment to continuous improvement and customer obsession is unwavering, and she is committed to supporting customers with resilient cloud-based financial services solutions.



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