This training workshop will take place before the main conference. It will be given in a small classroom, to maximize interaction and so you can ask even more questions than in a conference setting.IMPORTANT:- A specific ticket is required to get access to the workshop ("Workshop WORKSHOP_NAME + Conference 24-26/6").
- The venue is different from that of the main conference. The workshop will be held at Dafiti — many thanks to them for providing the space!
- Students should bring their own laptops, for practical work.
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SUMMARYIn this workshop, we will use Amazon SageMaker to build, train and deploy Machine Learning models. Running a number of Jupyter notebooks, you will first learn how to use built-in algorithms to perform complex tasks like image classification or classification. Then, we'll see how you can bring your own Tensorflow or Apache MXNet script to train Deep Learning models. We’ll also cover advanced topics like hyper parameter optimization, cost optimization and more.
WHAT YOU WILL LEARN- What Amazon SageMaker is
- How to build end-to-end Machine Learning workflows on Amazon SageMaker
- How to use built-in ML algorithms for classification, image recognition, etc.
- How to bring your own model, your own training code, etc.
PRE-REQUISITES- AWS account
- Familiarity with core AWS services (IAM, S3, EC2, etc.)
- Familiarity with Python
- Basic understanding of Machine Learning concepts
GET YOUR WORKSHOP TICKET NOW!
