CI/CD for Machine Learning (GitOps)

CI/CD for Machine Learning (GitOps)
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.
5 Hours
Free

Your goals

  • Automate ML pipelines with GitHub Actions
  • Automate testing and evaluation of your ML models
  • Deploy models with confidence

Curriculum

  • CI/CD for ML
  • GitHub Actions
  • Testing ML Code
  • GitHub API
  • GitHub Actions for ML

What you'll learn

  • Automate ML pipelines with GitHub Actions
  • Automate testing for your ML code
  • Implement branch protection rules
  • Integrate Github API in your actions
  • Integrate W&B API and programmatic reports into ML workflows
  • Promote models to the registry with W&B
Reviews
Insightful and concisely explained course. I have found the course really informative and helpful. With this course, I came to understand the concepts behind CI/CD, GitHub action workflows and how to leverage them for MLOps effectively. The explanation was also comprehensive and clear. I'd like to thank the course instructor for the same. With this course, I learnt about the paradigms of GitOps, wandb api and code testing which I'm sure will help in building and deploying ML pipelines and tracking experimentations. Looking forward to more such intriguing courses on wandb platform!
Amazing course. amazing course with good practical examples and exercises. Just wish the exercises were in a in-build IDE environment.
Great Course! I'm a little biased because I use W&B regularly, but this was a well-made course! Even though I was familiar with wandb Reports and Git/GitHub/Actions, I still learned a ton. I learned more about the Reports SDK and ghapi!
you don't wanna miss this course. This course taught me everything that I had in mind about a ci/cd course. It showed me that ci/cd is not just about GitHub actions; it also shows how powerful GitHub actions are.
an awesome intro to GitOps. very good start and easy to understand with code examples along the way and additional resources
A great course
Course instructor

Hamel Husain

Hamel is currently a founder at Parlance Labs, a research lab and consultancy focused on LLMs. Previously he was an entrepreneur in residence at fast.ai, where he built tools for data scientists and machine learning engineers. He also 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.
Founder Parlance Labs
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