Machine Learning on AWS
Register for this session to get the recording and resources sent to you! https://www.datacamp.com/webinars/machine-learning-on-aws
Resources (including link to GitHub Repo): https://bit.ly/4k3U1XB
Amazon Web Services (AWS) offers powerful tools for building and scaling machine learning models, from traditional analyses to generative AI workflows. Learning how to use Amazon Bedrock and SageMaker not only boosts productivity but also enhances the scalability and reliability of machine learning projects. For data scientists and machine learning engineers, moving analyses to the cloud with AWS opens new possibilities for collaboration and deployment.
In this hands-on code-along session, Suman Debnath, Principal Developer Advocate for Machine Learning at AWS, will guide you through the essentials of running machine learning workflows on AWS. You’ll learn how to get started with Amazon Bedrock and SageMaker, explore the full lifecycle of machine learning and generative AI workflows, and discover how to seamlessly transition your analyses to the cloud. This session is ideal for professionals looking to expand their machine learning capabilities and leverage the cloud for greater efficiency and scalability.
Register for this session to get the recording and resources sent to you! https://www.datacamp.com/webinars/machine-learning-on-aws
Resources (including link to GitHub Repo): https://bit.ly/4k3U1XB
Amazon Web Services (AWS) offers powerful tools for building and scaling machine learning models, from traditional analyses to generative AI workflows. Learning how to use Amazon Bedrock and SageMaker not only boosts productivity but also enhances the scalability and reliability of machine learning projects. For data scientists and machine learning engineers, moving analyses to the cloud with AWS opens new possibilities for collaboration and deployment.
In this hands-on code-along session, Suman Debnath, Principal Developer Advocate for Machine Learning at AWS, will guide you through the essentials of running machine learning workflows on AWS. You’ll learn how to get started with Amazon Bedrock and SageMaker, explore the full lifecycle of machine learning and generative AI workflows, and discover how to seamlessly transition your analyses to the cloud. This session is ideal for professionals looking to expand their machine learning capabilities and leverage the cloud for greater efficiency and scalability.
