Build and deploy Machine Learning models with AWS SageMaker

Currently, AI is advancing at a great pace and deep learning is one of the key contributors to that. It is good to understand the basics of deep learning as they are changing the world in which we live. With this trend, so many key organisations have tried to solve the day to day problems that we face using machine learning. In the past, Machine Learning was considered a lot harder than it should be to most developers because of the complicated process revolving building, training models and deploying them into production.

Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning by removing the complexity that holds back developer success with Machine Learning through inbuilt modules that can be used together or independently to build, train and deploy your Machine Learning models.

AWS is a leading cloud vendor in the market and they have introduced Amazon SageMaker which is a fully-managed platform that enables developers and data scientists to quickly and easily build, train and deploy Machine Learning models at any scale.
This webinar will talk about using SageMaker and building Machine Learning models.