Skill
MLOps basics
Version data and models. A notebook is not a production system.
Do these first
What you will be able to do
- Describe the difference between experiment and production
- Name what you would log for a training run
- Sketch a simple training → eval → deploy pipeline
Curated resources
Start with the pick, then branch out
Scores are LearnPath editorial opinions (clarity, cost, freshness, project density) — not an objective ranking. Every YouTube item is embedded officially after a click-to-load facade.
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LearnPath pickarticleadvanced
MLOps: Continuous delivery and automation practices
Google Cloud45 min
Read for the levels of automation, not the GCP product names.
Score 90
Open
55 minFastest pathQuick pathyoutube videobeginner
AI Engineer Roadmap – How to Learn AI in 2025
freeCodeCamp.org55 min
Fifty-five minutes mapping the AI engineer role — what to learn, in what order, and which parts of traditional ML matter for application work. Useful orientation before committing to a multi-month path.
Score 69
Watch
3h 1mLearnPath pickMore curatedyoutube courseadvanced
MLOps Course – Build Machine Learning Production Grade Projects
freeCodeCamp.org3h 1m
Three hours that take a model past the notebook: experiment tracking with MLflow, packaging with Docker, deployment and monitoring. The transition every ML learner needs and most courses skip.
Score 84
Watch