Q
How can organizations get started with ML?
Dr. Bratin Saha: With the broadest and deepest set of ML services, AWS can partner with you to
provide all the support you need on your ML journey.
Through the Amazon Machine Learning (ML) Solutions Lab, we can help you identify your highest
return-on-investment ML opportunities. We'll then "work backwards" from your business problems
to create a prioritized roadmap of ML use cases and an implementation plan to address them.
We also offer a wide variety of training courses and educational resources that can help your
business stakeholders develop a greater understanding of ML and help technical stakeholders build
their ML skills. The AWS Ramp-Up Guide: Machine Learning provides a hierarchical catalog of all our
ML training resources in a single, convenient document. There are options for free self-paced digital
training, or your teams can dive deeper with public or private instructor-led classroom training, which
is available virtually or in person.
For more comprehensive guidance on your ML journey, the AWS Machine Learning Embark program
combines the training, coaching, and implementation support needed to launch your company's ML
initiatives and transform your teams into ML practitioners.
In addition, our portfolio of Deep Devices—AWS DeepRacer, AWS DeepComposer, and AWS
DeepLens—was designed to give developers hands-on experience with a fun and engaging way to
learn ML.
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