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https://github.com/noahgift/mlops-certifications


https://github.com/noahgift/mlops-certifications

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# mlops-certifications

Some brief notes on popular certifications related to MLOPs (with a special note towards the enterprise).

## Databricks

* [Databricks-Machine Learning in Production](https://www.databricks.com/learn/certification/machine-learning-professional)

* [Study Guide Databricks Academy](https://customer-academy.databricks.com/learn/mycourses)
* Specifically: Scalable Machine Learning with Apache Spark course

### References

* Try Pandas API via workspace import: https://docs.microsoft.com/en-us/azure/databricks/_static/notebooks/pandas-to-pandas-api-on-spark-in-10-minutes.html

## Google

* [Google-Professional Machine Learning Engineer](https://cloud.google.com/certification/machine-learning-engineer)

## AWS

* [AWS Certified Machine Learning - Specialty](https://aws.amazon.com/certification/certified-machine-learning-specialty/)

## Azure

Certification- [Microsoft Certified: Azure AI Engineer Associate](https://docs.microsoft.com/en-us/certifications/azure-ai-engineer/)

Training material:
* [End-to-end machine learning operations (MLOps) with Azure Machine Learning](https://docs.microsoft.com/en-us/learn/paths/build-first-machine-operations-workflow/)

### Problems Framing

#### Heuristics

* [Deap](https://deap.readthedocs.io/en/master/)
* [TSP](https://github.com/noahgift/or)

## References

* [Red Hat Enterprise MLOps](https://cloud.redhat.com/blog/enterprise-mlops-reference-design)
* [Sagemaker Enterprise MLOps](https://aws.amazon.com/blogs/machine-learning/mlops-foundation-roadmap-for-enterprises-with-amazon-sagemaker/)