Branching out of the Notebook: ML Application Development with GitHub



Published
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.

We will be taking questions during the event. Please submit your question or upvote others' here:
https://app.sli.do/event/xAPQPHTUHkjMHTyZaGFAUh

Speakers
Dr. Greg Loughnane, Head of Product & Curriculum at FourthBrain
https://www.linkedin.com/in/gregloughnane/

Milica Cvetkovic, Instructor ML Engineering Program at FourthBrain
https://www.linkedin.com/in/iammilica/

Chris Alexiuk, Instructor ML Engineering Program at FourthBrain
https://www.linkedin.com/in/csalexiuk/

Let us know how we're doing? We will be giving out discount codes for a selected number of people who fill out the survey:
https://forms.gle/uWJfQ76KrK92qiGf7

Looking to connect with your peer learners, share projects, and swap advice? Join our AI community:
https://community.deeplearning.ai/invites/ddzDLVa2jv

To learn more about us and signup for future events:
DeepLearning.AI: https://www.deeplearning.ai/
Category
Management
Be the first to comment