Register for our Tech Talk: 'Bringing Data Science Curriculum to 20,000 Students – in the Cloud'

 
 
 

Using Kubernetes, JupyterHub, and DigitalOcean, The Data Incubator – an immersive data science bootcamp and the leading training and placement organization in the world – was able to scale and offer their curriculum to an online class of 20,000 students in Subsaharan Africa – for free.

In this Tech Talk, Michael Li and Robert Schroll will speak about how The Data Incubator's training success depends on an integrated Jupyter notebook-based learning management system. The talk will feature a use case showing how they built a learning management system in the cloud using Docker and Kubernetes to dynamically provision interactive learning environments for students that allow dynamic code execution and integrate with live code examples.

 
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This has enabled them to scale their curriculum to tens of thousands of students in the developing world – simultaneously. Relying on DigitalOcean's cloud infrastructure, The Data Incubator's team can now focus on doing what they do best: delivering world-class data science education to students all over the world.

Darian Wilkin – a Solutions Architect at DigitalOcean – will also discuss how the DigitalOcean products and services used have enabled The Data Incubator to scale up so quickly and easily.

Key takeaways:

  1. How to build an interactive data science curriculum
  2. How to scale using Kubernetes and JupyterHub
  3. How you can use DigitalOcean solutions to achieve all the above

We hope you can join us for the webinar to learn more about scaling your EdTech business using Kubernetes and JupyterHub! If you can't join live, please sign up below, and we'll email you a link to the recording after the event.

Scaling a School: Bringing Data Science Curriculum to 20,000 Students – in the Cloud

Session 1 (American/EU time zones):

Tuesday, September 29, 2020, 1:00 p.m. ET/7:00 p.m. CEST

Session 2 (APAC/India time zones):
Wednesday, September 30, 2020, 12:00 p.m. IST/2:30 p.m. SGT
 
     

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