DVC Tools 

DVC

Open-source version control system for ML projects

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All the things you need to know to take you from your notebook to production with DVC tools!
  • 7 Modules
  • 72 Lessons
  • 1 Certification
  • Videos and course guide
  • Connect with other learners!

DVC Tools for Data Scientists & Analysts

All the things you need to know to take you from your notebook to production with DVC tools!

What's Included?

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Join our community!

All the things you need to know to take you from your notebook to production with Iterative tools!
  • 8 Modules
  • 1 Certification
  • 69 Videos
  • 16 PDFs
  • Connect with other learners!

What's Included?

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Building blocks for success

You will learn how to use DVC tools to create a flexible and effective pipeline to get your machine learning projects into production efficiently and fully reproducible.
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Collaborate

Break down the wall between data science and engineering teams.  You will be able to work together more transparently and efficiently, significantly speeding your time to market for your projects.
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Best Practices

You will learn to apply the best practices from software development to machine learning projects. DVC tools enable  version control of data, models and experiments as well as CI/CD for machine learning projects.

Course content

Meet the instructors

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Mikhail Rozhkov

Has over 6 years of hands-on experience in Machine Learning & Data Science projects as data scientist and team lead. Leads projects and helps teams to implement good tools and engineering practices. Author of online courses on ML Experiments automation and MLOps with DVC. Helped ML teams from banking, telecom, retail and other industries to set up MLOps tools and processes.
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Milecia McGregor

Milecia is a senior software engineer, international tech speaker, and mad scientist that works with hardware and software. She will try to make anything with JavaScript first. In her free time, she enjoys learning random things, like how to ride a unicycle, and playing with her dog.

DVC has joined lakeFS!

Did you know DVC has joined the lakeFS family? DVC, the Git extension for data version control, remains the easy choice for individual data science projects. But when your data grows to petabyte scale, or your team needs data version control infrastructure that integrates with your existing AI/data ecosystem, lakeFS provides a natural next step. Learn more at lakeFS.io