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11:00 – 12:00 (GMT)
6th of December, 2018


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.
Nirojan Selvanathan – Senior Software Engineer

Nirojan Selvanathan is a Senior Software Engineer of Mitra’s Research and Development team. He is a google certified data engineer and an experienced full stack developer with 4+ years of industry experience. His interests are in cloud computing, data engineering and machine learning related domains.

Ayeshmantha PereraSoftware Engineer

Ayeshmantha Perera is a Software Engineer at Mitra Innovation. He is passionate about research and development and currently doing research in machine learning,cloud computing ,big data and blockchain domains.

Dushan Devinda – – Intern – Research and Development

Dushan devinda is a computer science undergraduate at Kotelawala defense university. He is currently working with Mitra’s Research and development team. His interests are in machine learning and data engineering.