In today's technology landscape, artificial intelligence (AI) and machine learning (ML) are becoming increasingly accessible, allowing builders of all levels to harness their power. As more companies adopt AI solutions, it becomes increasingly necessary to upskill technical and non-technical teams to responsibly expand the use of AI. Gaining hands-on experience is crucial to understanding and applying ML concepts to automate tasks like content generation, language translation, and image classification. And it's there AWS DeepRacer comes into play: a fun and exciting way to learn the fundamentals of ML.
Launched in 2019, DeepRacer is a fully managed service that allows builders of all skill levels to learn and perform model training and evaluation tasks such as defining a reward function, configuring training parameters and the configuration of a training task that can be evaluated and monitored. for model performance in a simulated environment. By exploring the AWS DeepRacer ML training lifecycle, you will practice training, evaluating, and deploying ML models on a 1/18 scale autonomous racing car, using a human-in-the-loop experience. The model training and evaluation experience allows builders to become familiar with similar concepts applicable to training and fine-tuning the base models (FM) that power generative AI applications.
AWS DeepRacer also offers a global racing league to compete alongside a community of ML enthusiasts, earning rewards and recognition while showcasing your ML skills. Through the AWS DeepRacer League, we've trained more than 550,000 developers, crowned five AWS DeepRacer Champions, recognized more than 100 monthly virtual track winners, and rewarded more than 10,000 participants worldwide with Amazon gift cards, cash prizes and paid trips to AWS re:Invent to compete for the annual AWS DeepRacer Championship Cup.
Excitement about AWS DeepRacer extends far beyond just individual learners. To celebrate Women's History Month, JPMorgan Chase & Co. recently hosted the “World's Largest Women's AWS DeepRacer Global League,” providing employees with an exciting opportunity to gain hands-on ML experience through racing of virtual autonomous vehicles. This event not only fostered a spirit of friendly competition, but also celebrated empowerment and innovation in the fields of AI and ML. By adopting AWS DeepRacer, JPMorgan Chase has demonstrated its commitment to democratizing ML knowledge and cultivating a culture of continuous learning, enabling its talented teams to drive the enterprise's AI transformation.
“I am super proud of the group, the firm and the TIF (Take it Forward) team. . . I couldn't be more proud of such a motivated group of individuals. From here, the sky is the limit! Deep Racer is proof that learning can be fun.
– Ebele Kemeryhead of JPMorgan Chase Tech, Data and AI Learning.
Initiatives like these demonstrate the far-reaching impact of AWS DeepRacer in bringing ML education to the forefront, inspiring learners from all backgrounds to embrace the future of intelligent technologies.
Whether you're a seasoned developer or a curious professional, AWS DeepRacer offers a fun and exciting way to get started with AI. You will gain practical skills applicable to real-world ML and generative AI use cases. So get started with machine learning today!
About the authors
Angel Krueger is a leading AWS technologist. She leads product portfolio advancements and technology agility within the global financial industry. Utilizing more than 200 AWS cloud services, including leading AWS AI, machine learning, and generative AI offerings, it delivers innovative, transformative, and scalable solutions that precisely meet our customers' complex demands worldwide. Through a collaborative approach and focus on customer-centric outcomes, Ange improves the customer experience to optimize business performance. Her commitment to continuous improvement and her obsession with the customer are unwavering, as she strives to provide our customers with resilient, cloud-based financial services solutions.