Course note from CI/CD for Machine Learning (GitOps)
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Streamline your ML workflows and save valuable time by automating your pipelines and deploying models with confidence. Learn how to use GitHub Actions and integrate W&B experiment tracking in this practical, hands-on learning experience.
Hamel Husain
Machine Learning Engineer
Hamel Husain is currently an entrepreneur in residence at fast.ai, where he builds tools for data scientists and machine learning engineers. Hamel has previously worked at Airbnb, DataRobot, and GitHub where he built a wide array of machine learning products and infrastructure. Hamel has contributed to data and infrastructure tools in open source such as Metaflow, Kubeflow, Jupyter, and Great Expectations. Hamel was also a consultant for over 10 years, and used data science to improve business outcomes in the restaurant, entertainment, telecommunications, and retail industries.
You can take the course here