Deploy ML model in 10 minutes. Explained

Level up your Data Science to Machine Learning Engineering.

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MACHINE LEARNING DEPLOYMENT INTO PRODUCTION ENVIRONMENT
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DOCKER & KUBERNETES (best course out there)
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[jawaharkonathala]

Nicely explained. I just wanted this much info only, saved myself from taking a 3-hr coursera course. Thank you

[lorenzolupo]

This content is fire!
I love the efficiency of information delivery, slow enough to understand every step and speedy enough not to waste time, with visual helpers to focus on the right visual information.
I also love that you kept errors in the video, so that we learn the most common we might encounter and how to tackle them. Keep it up!

[taido]

Exceptional video! Thank you Danil!
I watched tons of other videos and have no idea on how to deploy my ML model. Stumble on this one and now I'm able to do it.

[Swilem]

The most underrated channel i have ever seen, you give a very nice content and information with a very simple way, thank you very much <3

[sangeethag]

Thanks a lot Danil.. You saved 4hrs of time. Its working for me :)

[chidozieuzoegwu]

Subscribed immediately. What a straight to point video. Thanks, man.

[satish]

Thanks a lot!

Now I understand the core concepts. If I understand correctly, in Azure AI/ML, once a model is deployed, it provides a URL for inference along with a Docker image. I guess this is what the cloud provider is doing in the background — wrapping the model (e.g., the .joblib file) into a REST API (using something like Flask) and deploying it as a container in a Kubernetes (K8s) cluster.


I guess something is happening with AWS Sage Maker

[shrshr]

Thanks, Danil ! This is exactly what I was looking for. Clear and concise tutorial, 🙏

[shakilmosharrof_]

Thanks a ton!
No BS or extra. To the point as it needs to be.

[piano_tam]

Very nice video and clearly explain
Currently i am learning about ci/cd and cloud deploy for ml project, could you kindly please do a video on that subject?

[vasimSyed-ed]

@Danil_Zherebtsov
please create video on roadmap of mlops, and also end-to-end mlops projects, with and without open-source tools projects

[stefangrandl]

Thanks for the video and all the effort it took to produce it. It's easy to follow and nicely animated. 👍🏼

However, as of today I would rather use BentoML instead of FastAPI. It's even easier to set up an API and then publish a docker image.

[Adebowale]

This is just wonderful and succinct. Thank you!

[eswarkarthikk]

i bild a object detection model . that was 180mb in size . how can i deploy my model

[liambchops]

This is awesome. Thank you for posting

[EmmanuelSalvo-ehow]

How or where can we deploy that Docker container to be used along the internet?

[alikograce.]

Nicely explained, please will it be the same steps for a pikl file ?

[julien]

Do you know if the problem of compatibility between M chips and Docker is solved?

[sohamdutta]

I am getting an Aborted ! Error whenever i am using the docker --run command. Anyone knows whats going on ?

[doneaabohlassan]

The commands in terminal work in os Windows?