Demystifying MLOps with Vetiver
summary
Conference meetups show 58 talks with about 40% tagged MLOps and 25% LLMs, and the claim is that beginners can get started without deep cloud expertise by using Vetiver (Posit) to version models with pins, create APIs via Plumber/FastAPI and generate Docker files automatically. Workshops run on Posit Workbench teach local-first deployment — deploy to localhost — and this approach scales: a completed client project uses Python models deployed in AWS and it works well, with monitoring and retrievable model versions.
AI-written summary · about
chapters (7)
- 0:00Introduction
- 1:46Data science journey
- 6:26First MLOps challenges
- 10:26Learning with Vetiver
- 13:41Teaching MLOps
- 15:27Key takeaways
- 16:10Q&A
related talks
19mDemystifying MLOps
19mDemystifying MLOps
27mPractical MLOps for better models
50mBuilding an MLOps strategy from the ground up
34mHolistic MLOps for better science
59mInside the fastest-growing trends in MLOps: VC & startup perspective
26mMLOps for the rest of us- A poor man's guide to putting models in production
26mAre you ready for MLOps? 🫵
