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!

About This Event
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.
Presenters
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    Jay Rao
    Senior Solutions Architect, AWS
    Jay is a Senior Solutions Architect at AWS. He enjoys providing technical guidance to customers and helping them design and implement solutions on AWS. He specializes in helping customers to design solutions involving AWS AI/ML services. Outside of work, Jay likes to engage in outdoor activities and travel to new places.
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    Henry Robalino
    SMB Focused Solutions Architect, AWS
    Henry is a Solutions Architect focused on SMB customers in New York City. He is passionate about machine learning, its application in all pieces of life, and has a strong infrastructure background. He gets excited to talk to customers about using machine learning to help solve real world problems. When not helping customers, Henry enjoys spending time in the outdoors, trying new craft beers, and exploring new places.
  • 1632756515-6736fd17b832d8d2
    Kenneth Henrichs
    Sr. Solutions Architect | ClearScale
    ClearScale delivers best-of-breed cloud systems integration, application development, and managed services. We are experts in utilizing proven cloud technologies and are on the cutting edge of integrating emerging cloud technologies into our practice.
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    Jeetendra Vaidya
    Solutions Architect, AWS
    Jeetendra is a Solutions Architect at AWS based in Chicago, IL. He is AI/ML and Serverless enthusiast and loves helping customers architect secure, scalable, reliable, and cost-effective solutions. Outside of work, Jeetendra likes to explore and travel new places.