In today's technology landscape, artificial intelligence (ai) and machine learning (ML) are increasingly accessible, allowing builders of all levels to harness their power. As more companies adopt ai solutions, there is a growing need 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 that's where AWS DeepRacer comes in: a fun and exciting way to learn the fundamentals of machine learning.
Launched in 2019, DeepRacer is a fully managed service that allows builders of all levels to learn and perform model training and evaluation tasks, such as defining a reward function, setting training parameters, and setting up a training job that can evaluate and monitor. for model performance in a simulated environment. By exploring the AWS DeepRacer ML training lifecycle, you'll practice training, testing, and deploying ML models on a 1/18 scale autonomous race car, using a human-on-the-track experience. Model training and evaluation experience allows builders to become familiar with similar concepts applicable in training and tuning basic models (FM) that drive generative ai applications.
AWS DeepRacer also offers a global racing league to compete alongside a community of machine learning enthusiasts, earning rewards and recognition while showcasing your machine learning skills. Through the AWS DeepRacer League, we've trained over 550,000 developers, crowned five AWS DeepRacer champions, recognized over 100 monthly virtual circuit winners, and rewarded over 10,000 participants worldwide with gift cards. from amazon, cash prizes and paid trips to AWS re:Invent to compete for the annual AWS DeepRacer Championship Cup.
The excitement around AWS DeepRacer extends far beyond individual students. To celebrate Women's History Month, JPMorgan Chase & Co. recently hosted the “World's Largest Women's AWS DeepRacer League,” giving employees an exciting opportunity to gain hands-on ML experience through virtual vehicle races. autonomous. This 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 showed its commitment to democratizing ML knowledge and fostering a culture of continuous learning, empowering its talented teams to drive the company'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 that a group of people are so motivated. The sky is the limit from here! “Deep Racer is proof that learning can be fun.”
– Ebele KemeryJPMorgan Chase Head tech, Data and ai Learning.
Initiatives like these demonstrate the far-reaching impact of AWS DeepRacer in bringing machine learning education to the forefront, inspiring students of all backgrounds to embrace the future of smart technologies.
Whether you're an experienced developer or a curious business professional, AWS DeepRacer offers a fun and exciting way to get started with ai. You'll gain practical skills applicable to real-world generative ai and machine learning use cases. So get started with machine learning today!
About the authors
Angel Krueger is a Principal Technologist at AWS. Leads product portfolio advancements and technological agility within the global financial sector. Using more than 200 AWS cloud services, including AWS's leading ai, machine learning, and generative ai offerings, it delivers innovation, transformation, and scalable solutions that precisely address the complex demands of our global customers. Through a collaborative approach and laser focus on customer-centric results, Ange improves customer experiences for optimized business performance. His commitment to continuous improvement and customer obsession is unwavering as he works to empower our clients with resilient, cloud-based financial services solutions.
