Level up your data, AI/ML, and infra skills!

Data Dan (Daniel Whitenack) is a PhD-trained data scientist with over ten years of experience developing ML/AI applications in industry. Through his courses and workshops, Dan has helped hundreds of students learn the theory and practice of machine learning, AI, data engineering, and analytics.

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Deploying and managing ML workflow at scale

It's no secret that machine learning workflows are awkward to deploy, hard to maintain, and often cause friction with engineering/IT teams. Frequently, work done by...

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Docker-izing Data Science Applications

In this course, we will learn how to put your data science applications in Docker images and run those as containers on any infrastructure. These...

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