The two most popular tools today, when it comes to deploying machine learning models are PyTorch and AWS. While PyTorch has grown to become a community favorite framework over the past couple of years, AWS has been the cloud leader for more than a decade now. These tools are currently the hottest commodity amongst the data scientists and organisations across the world.
AWS in association with Analytics India Magazine in their latest webinar is bringing these two concepts together and offering a hands on session with the help of Suman Debnath of AWS. In this session, Suman will introduce the audience to the basics of Deep Learning and will later dive into the nitty gritty of building, training, and deploying machine learning models at scale using PyTorch and Amazon SageMaker.
To register for the webinar, click here.
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Suman has vast experience of working with AWS cloud services and helps developers to unravel cloud’s optimum possibilities and obtain its utmost usage into their application. His key focus areas are machine learning, Data Analytics and Storage.
Session Details
Speaker: Suman Debnath, Principal Developer Advocate at AWS
Time: 4 – 5 PM on 25 June 2020
What You’ll Learn
- AWS Machine Learning Overview
- Basic understanding of Deep Learning and Neural Networks
- Train model on AWS using Amazon SageMaker PyTorch
- A brief about TorchServe: a PyTorch model serving framework, which is recently announced
Date & Time : 4 PM on 25th June 2020
To register for the webinar, click here.
