Machine Learning (ML) is a hot topic in the education industry. In this webinar, you will learn how AWS customers are using ML on AWS to transform their companies and their products. We'll go through many use cases across different industries (education, media, finance, retail, etc.), both in the enterprise and the startup worlds. In the process, we'll introduce you to the growing family of API-driven ML services that provide EdTechs with everything they need to innovate and build transformative learning solutions for the education marketplace.

Speaker: Julien Simon, Principal Evangelist AI/ML EMEA, Amazon Web Services

 

Machine Learning (ML) has long been an arcane topic, accessible only to experts. In this webinar, you will learn how to easily add Amazon API-driven ML services to your education software. Image and video analysis, text-to-speech, speech-to-text, translation, natural language processing: all these are just an API call away. Through code-level demos, we'll show you how to quickly start integrating these services into your education offerings, with zero ML expertise required.

Speaker: Julien Simon, Principal Evangelist AI/ML EMEA, Amazon Web Services
 


 

Today, educators are experimenting and finding ways to integrate voice technology in a meaningful way in their classrooms. Amazon Polly is a service that turns text into natural sounding speech, making it easy to develop applications that leverage high-quality text-to-speech voices to increase engagement and accessibility. In this webinar, you will learn how you can add feature-rich voice capabilities to your applications. You will also hear from EdTechs that are using Amazon Polly to enable personalized learning and differentiated instruction.

Speakers:

Robin Dautricourt, Senior Product Manager, Amazon Polly, Amazon Web Services

Markku Hakkinen, PhD, Head of, Accessibility, Standards, and Assistive Technology Research Group, Educational Testing Service
 


 

Amazon SageMaker is a fully managed service that enables education developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. This webinar will introduce you to the features of Amazon SageMaker, including a one-click training environment, highly optimized machine learning algorithms with built-in model tuning, and deployment without engineering effort. With zero-setup required, Amazon SageMaker significantly decreases your training time and overall cost of building production machine learning systems.

Speaker: Dan Romuald Mbanga, Business Development Manager, Amazon AI, Amazon Web Services