Nov. 9 Branching out of the Notebook: ML Application Development with GitHub

Events
1

2.11_The Batch Image
2.11_The Batch Image2401Ă—1351 494 KB

Welcome to your first week on the job as a Silicon Valley Machine Learning Engineer! Your first task is to use code from an existing containerized ML web application to deploy a new state-of-the-art, open-source text-to-image diffusion model for internal stakeholders.

Join us for a live, interactive workshop that covers how to accomplish this task using industry-standard version control best practices, including GitHub branch development and pull requests.

This 1-hour hands-on session will be hosted by Greg Loughnane, Ph.D., Head of Product & Curriculum at FourthBrain, and will be supported by Milica Cvetkovic and Chris Alexiuk, experienced Instructors from FourthBrain’s Machine Learning Engineering Program.

  • MacOS will be used for the demo, and all setup and deployment code will be provided.

Those with a non-technical background are welcome to attend as well. Special thanks to FourthBrain for co-hosting the event with us!

Who should attend the event?

  • Learners who are curious about branch development and pull requests…
  • Learners who aim to quickly deploy state-of-the-art diffusion model apps…
  • Learners who want to add version-control to their ML app development.

Why should you attend the event?

  • To learn how to do branch development and how to work with pull requests.
  • To see an example of an end-to-end mlops diffusion model deployment.
  • To see how Git workflows integrate with a VSCode development environment.

Get your tickets: Branching out of the Notebook: ML Application Development with GitHub, Wed. Nov. 9 at 10:00 AM PST

1 Like
2

The link I was emailed doesn’t work, this is the error i get:

{
  "errors": [
    {
      "message": "permission denied",
      "code": "1100"
    }
  ]
}

EDIT: i got it working with this link :grinning: : Branching out of the Notebook: ML Application Development with GitHub - YouTube

1 Like
3

Got the same issue. How can we access the stream?

4

you can use this: Branching out of the Notebook: ML Application Development with GitHub - YouTube

5

thank you ismailmo1