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Disclaimer: this channel is separate from my work at Google DeepMind and is my attempt to educate the broader community of future ML engineers, researchers, and builders.

With this video I'm kicking off a brand new video series on MLOps! Everything you need to know to build an ML-powered app end-to-end with a high level of automation.

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The 4 courses I mentioned:
✅ MadeWithML: https://madewithml.com/
✅ Full Stack Deep Learning: https://github.com/full-stack-deep-le...
✅ Coursera (deploying ML models in production): https://www.coursera.org/learn/deploy...
✅ Machine Learning Systems Design: https://stanford-cs329s.github.io/syl...

✅ Example app: https://www.hubermantranscripts.com/
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⌚️ Timetable:
00:00 Intro: great resources for learning MLOps
05:25 What is MLOps? (leave feedback - what do you want to see?)
13:30 Walk-through of MadeWithML lectures
33:08 FSDL (full stack deep learning) course
35:39 Deploying ML models in production Coursera course
38:30 Outro

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💰 BECOME A PATREON OF THE AI EPIPHANY ❤️

If these videos, GitHub projects, and blogs help you,
consider helping me out by supporting me on Patreon!

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One-time donation - https://www.paypal.com/paypalme/theai...

Huge thank you to these AI Epiphany patreons:
Eli Mahler
Petar Veličković

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#mlops #ml #apps