Machine Learning with AWS
Key Takeaways:- Discover the AWS tools available for machine learning and their use cases.
- Learn how to start building machine learning models in SageMaker.
- Explore how to leverage AI capabilities with AWS Bedrock.
Description
Amazon Web Services (AWS) offers a powerful suite of tools for building and deploying machine learning models at scale. Whether you’re exploring SageMaker for model development or leveraging AI with Bedrock, AWS provides the resources to accelerate your machine learning projects. Understanding how to navigate these tools and integrate them into your workflows is essential for data scientists and machine learning scientists looking to maximize their productivity.
In this hands-on code-along session, Luca Bianchi, the Field CTO at Neosperience, will guide you through the key AWS tools for machine learning. You’ll learn how to get started with machine learning in SageMaker, explore AI capabilities in Bedrock, and gain insights into leveraging AWS’s ecosystem to streamline your projects. This session is perfect for data scientists and machine learning scientists aiming to expand their skill set and harness the power of AWS for their machine learning workflows.
Presenter Bio
Luca provides technical consultancy to clients around cloud and AI solutions. He has over a decade of experience as a technology executive, including an initiative to adopt AWS across Neosperience. Luc is an active contributor to the tech community, as the organizer of the ServerlessDays Milano and JeffConf Milano conferences, and the host of the CTO Talks podcast.