MICRO-COURSE

MLOps & LLMOps

MLOps & LLMOps: 13 short lessons, one for each concept. Experiment tracking, dataset versioning, model registries, training pipelines, model deployment, feature stores, inference endpoints, model monitoring, data drift, model drift, retraining, prompt versioning, and rollback.

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02 / UNDERSTAND

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Experiment tracking, dataset versioning, model registries, training pipelines, model deployment, feature stores, inference endpoints, model monitoring, data drift, model drift, retraining, prompt versioning, and rollback.

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13 results1–12

Lesson

Experiment tracking

A short lesson on experiment tracking from the MLOps & LLMOps micro course: what it is, where it shows up in real systems, and a practical example you can apply.

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Lesson

Dataset versioning

A short lesson on dataset versioning from the MLOps & LLMOps micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Model registries

A short lesson on model registries from the MLOps & LLMOps micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Training pipelines

A short lesson on training pipelines from the MLOps & LLMOps micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Model deployment

A short lesson on model deployment from the MLOps & LLMOps micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Feature stores

A short lesson on feature stores from the MLOps & LLMOps micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Inference endpoints

A short lesson on inference endpoints from the MLOps & LLMOps micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Model monitoring

A short lesson on model monitoring from the MLOps & LLMOps micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Data drift

A short lesson on data drift from the MLOps & LLMOps micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Model drift

A short lesson on model drift from the MLOps & LLMOps micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Retraining

A short lesson on retraining from the MLOps & LLMOps micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Prompt versioning

A short lesson on prompt versioning from the MLOps & LLMOps micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

MLOps & LLMOps

Recorded video

Start with the topic guide.

Concept scope

Prepare a focused example

Check your understanding

Need a walkthrough?Stay with this topic.

Request a live session for this topic.

Explore 13 focused topics.

Experiment tracking

Dataset versioning

Model registries

Training pipelines

Model deployment

Feature stores

Inference endpoints

Model monitoring

Data drift

Model drift

Retraining

Prompt versioning

Need a walkthrough?
Stay with this topic.