About the Webinar Series
As schools and universities quickly shift online due to the COVID-19 epidemic, education technology (EdTech) providers have quickly pivoted to cater to the changing demands and the new way of learning and teaching.
Join this series to hear from AWS EdTech solutions experts on how to build, scale and save on AWS Cloud; we will cover AWS services like Amazon Chime, Amazon Rekognition, and managed database services. Each session, we will share the overview of technology, use-cases, how to deploy the solutions, optional hand-on lab sessions, and live Q&A with the AWS team.
Who should attend?
This series is for education technology providers, including chief technology officers (CTOs), chief product officers (CPOs), product managers, and developers.
EdTech Solutions Webinar Series Featured Topics
Modernizing Remote Classroom and Content Delivery Experience on AWS
Level 200-300
Tuesday, 3 Nov 2020 | 9:00 AM – 10:30 AM IST / 11:30 AM – 1:00 PM SGT / 2:30 PM – 4:00 PM AEDT
Session Overview: This session will cover how you can use Amazon Chime and Amazon Chime SDK to virtually meet, chat, place a voice/video call, and share content that helps teachers and students to maintain educational continuity during this unprecedented time. We will also demonstrate how to easily create a video on demand (VOD) with AWS Elemental that has advanced features such as multi-screen delivery at scale and adaptive bandwidth without having to worry about the complexity of building and operating your video processing infrastructure.
Speakers:
- Thean Keong Kwan, Senior Solutions Architect, ASEAN, Worldwide Public Sector, AWS
- Aris Prabhawa, Senior Solutions Architect, Indonesia, Worldwide Public Sector, AWS
Building Database, Data Lakes, and Analytics on AWS
Level 200 – 300: This session will include a hands-on lab.
Wednesday, 4 Nov 2020 | 9:00 AM – 11:30 AM IST / 11:30 AM – 2:00 PM SGT / 2:30 PM – 5:00 PM AEDT
Session Overview: This session will cover how AWS can help you rapidly scale and build your database and data lake environments that can serve analytical requirements such as data warehousing, fraud detection, recommendation engines, serverless computing, and internet-of-things processing regardless of volume, velocity, and variety of data.
Speakers:
- Blair Layton, Head of Database, Asia Pacific and Japan, Worldwide Public Sector, AWS
- Ryan Hendriks, Principal Solutions Architect, Database, Asia Pacific and Japan, Worldwide Public Sector, AWS
Using AWS Artificial Intelligence (AI) and Machine Learning (ML) Solutions to Improve Online Learning and Student Outcomes
Level 200
Tuesday, 10 Nov 2020 | 9:00 AM – 10:00 AM IST / 11:30 AM – 12:30 PM SGT / 2:30 PM – 3:30 PM AEDT
Session Overview: This session will cover how AI and ML detect patterns and improve the remote learning experience, focusing on student engagement and success. Solutions covered include tracking student absenteeism to intervene early and prevent dropouts and helping college transfer students identify majors.
Speaker:
- Joe Pringle, Business Development Manager, AI and Machine Learning, Worldwide Public Sector, AWS
Optimizing AWS Operation Cost
Level 200 – 300
Wednesday, 11 Nov 2020 | 9:00 AM – 10:30 AM IST / 11:30 AM – 1:00 PM SGT / 2:30 PM – 4:00 PM AEDT
Session Overview: This session will cover the AWS Well-Architected Framework (Cost Optimization Pillar) and cost optimization patterns. You will learn how to leverage the design principles and Cloud Financial Management best practices to improve expenditure and usage awareness.
Speaker:
- Vijay Khanna, Senior Solutions Architect, India, Worldwide Public Sector, AWS
Our Speakers
Sam Harris
EdTech Programs Lead,
Asia Pacific and Japan,
Worldwide Public Sector, AWS
Thean Keong Kwan
Senior Solutions Architect,
ASEAN,
Worldwide Public Sector, AWS
Aris Prabhawa
Senior Solutions Architect,
Indonesia,
Worldwide Public Sector, AWS
Blair Layton
Head of Database,
Asia Pacific and Japan,
Worldwide Public Sector, AWS
Ryan Hendriks
Principal Solutions Architect,
Database, Asia Pacific and Japan,
Worldwide Public Sector, AWS
Joe Pringle
Business Development Manager,
AI and Machine Learning,
Worldwide Public Sector, AWS
Vijay Khanna
Senior Solutions Architect,
India,
Worldwide Public Sector, AWS