Beyond Jupyter Notebooks: MLOps Environment Setup & First Deployment

Join us for a live, interactive workshop on how to set up your new computer to build and deploy industry-standard machine learning applications so that you’re ready to maximize your impact during your first week on the job.

MacOS will be used for the demo, and all setup and deployment code will be provided. Windows and Linux resources will also be provided to attendees following the event. Those with a non-technical background are welcome to attend as well. Special thanks to FourthBrain for co-hosting the event with us!

Speaker
Dr. Greg Loughnane, Head of Product & Curriculum at FourthBrain

Looking to connect with your peer learners, share projects, and swap advice? Join our AI community:

To learn more about us and signup for future events:

[deeplearningaicommunity]

00:25 Introduction
02:00 Greg Loughnane FourthBrain Introduction
02:52 MLOP’s Into Context
05:44 Best Practice MLE Development tools
08:28 IDE Preliminaries
15:14 Demo
45:00 Conclusions
46:04 Questions

[margramiof]

Wonderful workshop. I have installed the setup on my computer and it works very well. Thank you for introducing us to this way to work.

[kuberchaurasiya]

Glad to see someone cares to greet people outside their timezone on other side of world.

[kendallruber]

This was really informative! I am in Data Science so I typically rely on my engineering counterparts to assist with deployment - I'm trying to be more self-sufficient. Hope to try it on my own soon!

[ashkantaghipour]

Thank you, Greg!
I appreciate the FourthBrainAI effort that brings practical value to our academic background.
Also, it is admirable to share your knowledge for free, which results in equal opportunity for eager individuals to expand their understanding of AI in the real world.

[vihangaherath]

excellent tips to increase the work efficiency, Thank you.

[ozchicas]

Wow thank you for posting this so informative and practical. Answered so many questions I had.

[greyhat_gaming]

I had to leave early but what I seen was great - I’ll catch up tomorrow.

[Marsss_]

Very informative, currently learning Python so I’m settling for pyCharm for now but I plan to delve into more languages later including OOP so it’d be nice to implement vscode then. Can’t wait. Thankss

[n_]

Awesome content. I'll add code quality packages (Black and Flake8), Makefiles to document the main commands in the project, and an environment.yml file (or a requirements.txt, but I don't like so much those files) to register the environment for the project.

What do you think about the Poetry package?

[Gannicus]

Conda may get u into license issues if you dev commercially. Use micro mamba instead.

[acasualdatascientist]

How do people use Docker, its the worst ****ing tool I have ever come across, never runs

[victorpimentel]

Please dont eat anything round mic. It sounds very awful.