Interested in Machine Learning on AWS?
Check out these five sessions during this year’s AWS Summit Online — Americas to get a better understanding of how you can leverage Amazon SageMaker for your Machine Learning needs!
1. Solve common business problems with AI and ML (100 level)
This session is for executives wanting to know how ML can help their businesses. It’s also a great starting point for engineers who are new to the field of Machine Learning and want a high level overview of the types of problems that Machine Learning can solve.
2. Use AutoML to create high-quality models with just a few clicks (200 level)
Want to speed up your ML workflow? AutoML is the process of automating the repetitive or tedious tasks within the machine learning model training process so you can save time and iterate faster.
3. Build, train, deploy ML models using SageMaker (200 level)
New to Amazon SageMaker? This session provides you with a great introduction and covers the steps you need to take in order train your first model.
4. Bring the power of machine learning to your developer operations (200 level)
Learn how AWS enables you to leverage Machine Learning to support your developer workflows.
5. Implement MLOps practices with Amazon Sagemaker (300 level)
Already familiar with machine learning or SageMaker? This session goes more in depth to show how you can leverage Amazon SageMaker using some of the more advanced features.
