Build, Train, and Deploy Models with Amazon SageMaker
Offered By: Toronto Machine Learning Series (TMLS) via YouTube
Course Description
Overview
Explore the capabilities of Amazon SageMaker in this comprehensive workshop led by AWS machine learning experts Stefan Natu and Saeed Aghabozorgi. Gain hands-on experience building, training, and deploying machine learning models using SageMaker's powerful tools and features. Learn about pre-built customizable solutions for top use cases that can accelerate your ML journey, offering datasets, CloudFormation templates, and reference architectures. Discover how to move quickly from concept to production with just a few clicks. Access additional resources including getting started video series, tutorials, online workshops, and tailored learning paths to further enhance your SageMaker skills. By the end of this 1 hour 26 minute session, acquire practical knowledge to effectively leverage SageMaker for your machine learning projects.
Syllabus
Build, Train, and Deploy models with Amazon SageMaker
Taught by
Toronto Machine Learning Series (TMLS)
Related Courses
How Google does Machine Learning en EspaƱolGoogle Cloud via Coursera Creating Custom Callbacks in Keras
Coursera Project Network via Coursera Automatic Machine Learning with H2O AutoML and Python
Coursera Project Network via Coursera AI in Healthcare Capstone
Stanford University via Coursera AutoML con Pycaret y TPOT
Coursera Project Network via Coursera