Learn about how AI/ML/DL helps you upskill your own teams, can deliver additional support via the addition of a virtual workforce, and helps the drive towards more automated and intelligent decision making. Our courses explore how modern AI technologies can be leveraged to unleash powerful capabilities that enable applications to be more engaging, secure, and contextually aware—and make highly-accurate predictions with complex data that surrounds us.
In this session we will study SKIL and its importance in data science and workflows. We’ll cover how you can train your Keras model, as well as register it in SKIL, deploy in a production grade-service, and get predictions.Learn more
In this session we will dive into Deep Learning and focus on its applications in the Life Sciences Today. We’ll examine key general use cases as well as focus on tools and platforms, and wrap up with a live demo.Learn more
The abundance of data and affordable cloud scale has led to an explosion of interest in Deep Learning. This course introduces Deep Learning concepts and TensorFlow library to students.Learn more
In this two-day course we will examine basic Kubeflow concepts, Machine Learning workflow lifecycles, and more. Our focus will be on how to use Kubeflow to take Machine Learning models to production in a scalable and portable way.Learn more
This course teaches doing Machine Learning at Scale with the popular Apache Spark framework. We assume no previous knowledge of Machine Learning—we teach popular Machine Learning algorithms from scratch.Learn more