~/talk

Cloud-Native Curriculum for Diverse Student Cohorts

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A graduate course is revamped into three units—unit 1 IaaS, cloud-native primitives and mlops—with assignments mapped to portfolio work and a capstone where small teams deliver an end-to-end ML service exposing a curlable API. Affordability is tackled via industry partnership (Digital Ocean fully funds the semester) because common student credits like the $200 Digital Ocean credit and $100 Azure often run out; initial offering averaged a C‑, later exams average ~95 after restructuring.

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  1. 0:00Introduction
  2. 1:04Teaching cloud challenges
  3. 3:57Diverse student needs
  4. 7:30Affordability and partnerships
  5. 10:39Curriculum design
  6. 13:49Group project applications
  7. 15:55Student stress support
  8. 18:03Engagement and community
  9. 21:36Resources and collaboration
  10. 22:18Q&A
  11. 26:39AI tools in classroom
  12. 28:49Virtual open-source curriculum
  13. 30:23Choosing cloud services
  14. 33:34Teaching journey and closing
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