Thinking of integrating machine learning (ML) into your applications? Join us to learn about the benefits of AWS AI/ML services. Get hands on experience training, tuning, and deploying machine learning models using AWs services such as Amazon SageMaker.

Work directly with the AWS Machine Learning team and ClearScale Machine Learning specialists. This 300 Level workshop is ideal for technical professionals including Developers, Data Engineers, Architects, Data Scientists, and ML developers. Register today!

BY THE END OF THIS LAB YOU WILL:
• Learn the benefits of Amazon SageMaker
• Get hands-on experience with popular ML algorithms, such as XGBoost, built-in with Amazon SageMaker, to train your model. Learn how you can get the best version of your machine learning model using hyperparameter optimization.
• Learn how to use Amazon SageMaker Pipelines, an easy-to-use continuous integration and continuous delivery (CI/CD) service for machine learning, to automate, and manage end-to-end ML workflows at scale.

LAB PRE-REQUISITIES INCLUDE:
• Comfortable editing code files
• Ability to enter commands into command-line
• Basic understanding of AWS Console navigation

SERVICES FEATURED IN THIS LABS INCLUDE:
Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models.