Workshop: Machine Learning with Amazon SageMaker
Looking to learn more about Amazon SageMaker and the ways it can help you build, train, and deploy machine learning models? Come and learn industry best practices from experts at Provectus & Amazon Web Services (AWS)!
The Amazon SageMaker Immersion Day (Machine Learning with Amazon SageMaker) is a hands-on workshop for data scientists, machine learning engineers, and developers on all things about the Amazon SageMaker platform. The workshop consists of theoretical modules and hands-on labs that focus on data quality, feature engineering, Amazon SageMaker built-in algorithms, and advanced concepts like model deployment on XGBoost.
Agenda
Introduction to Amazon SageMaker and Data for Machine Learning (session)
Feature Engineering with Amazon SageMaker (lab)
Create Model, Prediction and Inference with Amazon SageMaker (session)
Train, Tune and Deploy Model using Amazon SageMaker Built-in Algorithm (lab)
Schedule a 30-minute pre-assessment session for ML Acceleration Program https://provectus.com/ml-infrastructu...
The program is fully funded by Provectus and AWS and available to selected customers upon qualification.
Intended Audience
Data Scientists, ML Engineers, MLOps and QA professionals, and developers.
Presenters
Chaitra Mathur, Sr. Solutions Architect at AWS
Rinat Gareev, Solutions Architect at Provectus
Bulat Lutfullin, ML Engineer at Provectus
Rinat Akhmetov, Solutions Architect at Provectus