Best practices for building production-grade Deep Learning systems (Level 300)

August 9, 2020
"AWS offers different paths for building and deploying scalable ML solutions. In this session, we dive deep into insights and best practices developed while implementing deep learning-powered applications. Discover how Amazon ML services, with a large number of complementary AWS technologies, provide a great platform from which to implement production-grade solutions, such as recommendation, forecast, and prediction engines. Speaker: Pedro Paez, Specialist Solutions Architect, AI/ML, Amazon Web Services"
Previous Video
Deep dive into AWS Lake Formation (Level 400)
Deep dive into AWS Lake Formation (Level 400)

"In this session, learn how to build a secure and automated data lake using AWS Lake Formation. Also learn ...

Next Video
Streamlining machine learning operations (Level 200)
Streamlining machine learning operations (Level 200)

"Machine learning (ML) workflows are continuous and iterative processes that require adequate tools and pra...