Please register for this event here where you can also
find further details: https://datascienceonaws0620.splashthat.com/
During this session, speakers from AWS will show you how to build real-world machine learning pipelines using services such as Amazon SageMaker, Step Functions, Elastic Kubernetes Service (EKS), Kubeflow and much more!
You can use this session to help embark on a self-paced, hands-on learning path or join AWS for a free, all-day, hands-on virtual workshop offered once a month.
Women in Big Data
The mission of the Women in Big Data™ Forum is to strengthen the diversity in the big data field. As part of this initiative, Women in Big Data would like to encourage and attract more female talent to the Big Data & analytics field and help them connect, engage, and grow.
Amazon Web Services
Amazon Web Services (AWS) is the center of gravity for machine learning (ML) because of the massive volume of data stored and processed on our Big Data platform. By lowering the barriers for ML workloads with an innovative suite of products and services, AWS enables you to easily build machine learning powered smart applications to meet complex business needs.