Master MLOps. Build production ML systems that last.
Curated, no-fluff curriculum from real-world experience. Tools change, fundamentals don't.
Foundations
- Data versioning & lineage
- Experiment tracking
- Reproducibility
Systems
- Pipelines (batch/stream)
- Training orchestration
- CI/CD for ML
Operations
- Monitoring & drift
- Governance & risk
- Cost & SLOs
Essential Shell Commands
Quick reference for common shell commands used in MLOps workflows
List files with details
ls -lahFind files by name
find . -name "*.py" -type fSearch in files
grep -r "pattern" /path/to/dirWatch file changes
tail -f /path/to/logfileCopy recursively
cp -r source/ destination/Disk usage
du -sh * | sort -hPro Access
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