MLOps - blame (1a0e72) – VersoML Learn

Blame

1c3139	Lucas Gonthier	2026-06-30 12:04:21
Initial commit: course content (Machine Learning, MLOps) in EN and FR Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

# MLOps

Taking machine learning systems to production: reproducibility, automation, deployment, and

monitoring.

**Prerequisites:** the [Machine Learning](/en/Machine%20Learning) course, basic command line and Git.

## Syllabus

1. [Introduction](/en/MLOps/01%20Introduction)

2. The ML Lifecycle *(planned)*

3. Experiment Tracking *(planned)*

4. Data and Model Versioning *(planned)*

5. Pipelines and Automation *(planned)*

6. Model Deployment *(planned)*

7. Monitoring and Observability *(planned)*

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1a0e72	lugonthier	2026-07-01 15:43:09
Update navigation links for consistency in English and French MLOps and Machine Learning documents

[Machine Learning](/en/Machine%20Learning) · [Home](/en)