iam-veeramalla/mlops-zero-to-hero resource
Notes for my MLOps Zero to Hero Udemy course. observed · 2026-08-28
Health v2 · maintenance only
42/100
- Activity 62
- Release rhythm 28
- Longevity 19
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 266
- days_rel: 265
- days_push: 228
- n_releases_24m: 1
Adoption not part of the score
1432 stars · 1095 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of notes accompanying the 'MLOps Zero to Hero' Udemy course by Abhishek Veeramalla. It serves as supplementary written material for learners following the course.
Use cases
- learn mlops from scratch
- find notes for an mlops course
- study machine learning operations workflows
- supplement udemy mlops training with written notes
- get started with mlops tooling and practices
When to choose
- you are enrolled in or following the MLOps Zero to Hero Udemy course
- you want free written notes to learn MLOps fundamentals
When to avoid
- you need production-ready MLOps tooling or code
- you want a standalone tutorial that works without the paid course
Facets
learning-resource · maturity active
developer-tools machine-learning tutorials cross-platform mlops course-notes udemy education devops
1 source
- readme: https://github.com/iam-veeramalla/mlops-zero-to-hero · fetched 2026-08-28 · dd8843f0607e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| iam-veeramalla/mlops-zero-to-hero | main | 42 |
For agents
markdown · JSON · MCP: product_card(name="iam-veeramalla/mlops-zero-to-hero")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem