What is MLOps and how to get started? | MLOps series @TheAIEpiphany
What is MLOps and how to get started? | MLOps series  @TheAIEpiphany
Uploaded February 2023 | Updated September 2026, 1 week ago
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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:
βœ… MadeWithML: madewithml.com
βœ… Full Stack Deep Learning: github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs
βœ… Coursera (deploying ML models in production): coursera.org/learn/deploying-machine-learning-models-in-production
βœ… Machine Learning Systems Design: stanford-cs329s.github.io/syllabus.html

βœ… Example app: 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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Huge thank you to these AI Epiphany patreons:
Eli Mahler
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#mlops #ml #apps
What is MLOps and how to get started? | MLOps seriesDay 7: Meta NLLB - data structure & filtering (Pt. 1)Hamel Husain - Building LLM Apps in ProductionDay 15: Open NLLB - ALTI+, detecting hallucinations (Pt 2)Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer (ΞΌTransfer)Day 5: Meta NLLB - data filtering (Pt. 3)Make-A-Video: Text-To-Video Generation Without Text-Video Data | Paper ExplainedBest LLM? Qwen 2 LLM w/ author Junyang LinDay 25: Open NLLB - filtering HBS (Pt 3)Day 19: Open NLLB - OPUS, downloading HBS parallel corpora (Pt 2)Day 20: Open NLLB - downloading HBS parallel corpora (Croatian - wrap up) (Pt 1)Day 29: Open NLLB - testing & improving fasttext HBS LID (Pt 3)
Aleksa Gordić - The AI Epiphany |

What is MLOps and how to get started? | MLOps series

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