Build an AI app with FastAPI and Docker - Coding Tutorial with Tips

Join me in a coding session with Sebastián Ramírez and learn how to build a Machine Learning app with FastAPI and Docker. Along the way we will show you some tips like the interactive coding session and Docker init command, and best practices when working with FastAPI.

During the premiere, there will also be a giveaway to win Docker swag!🐳🥳

Sebastián is the creator of FastAPI, Typer, and other cool Open Source tools, and he is also a Docker captain. You can connect with him here:

Resources:

Get my Free NumPy Handbook:

📓 ML Notebooks available on Patreon:

If you enjoyed this video, please subscribe to the channel:

~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~

~~~~~~~~~~~~~~ SUPPORT ME ~~~~~~~~~~~~~~

#Python #docker

Timeline:
00:00 - Introduction
00:55 - Model Setup
09:35 - FastAPI Setup
26:15 - Docker Setup

[patloeber]

INSTRUCTIONS TO WIN DOCKER SWAG: Take a picture of yourself watching the video (or just a screenshot), post it on Twitter mentioning @Docker & @patloeber & @tiangolo to win SWAG! The first 30 people will be selected. There are still some left :)

[MyCodingDiary]

Your videos are my go-to resource whenever I get stuck on a coding problem. Thank you!

[maizizhamdo]

just wanted to drop you a line and say thanks for this amazing tutorial on building an AI
app with FastAPI and Docker! I was blown away by how easy it was to follow along and actually build something that
works.
I'm definitely going to be sharing this with my friends who are also interested in AI and machine learning. Your
explanations were super clear and concise, and the tips you shared really helped me understand some of the more
complex concepts.

[aar]

Pat! This is awesome. Also having Sebastian was a nice touch. Much love to you guys.

[shamaldesilva]

Awesome 🎉🎉 please more in depth courses with Fastapi ❤

[MyCodingDiary]

Your videos are a constant source of inspiration for me. Please keep them coming!

[francescociulla]

You just remembered me ti make the FastAPI video! Great one btw!

[theusualcouple]

Really cool feature of Run in interactive window. Thanks a lot for its introduction. This feature is also available by right clicking on a line/selection. VS code is the best.

[JustFuguFish]

Nice fast course! I am just amazed that the Docker image has 10GB :D

[macadeliccc]

great tutorial and lots of good information. Im familiar with torch and transformers but it was nice to combine them with a new technology to me, like fastAPI

[sammathew]

Thanks a ton for the interactive mode trick!

[shaunpx]

Awesome video! thank you guys for the great intuition and tips.

[manyes]

wow docker init make life so much easier

[jaggyjut]

Thanks Patrick for another great Tutorial. Would you be able to make a tutorial on using streamlit to create an end user web app to fix any wrong prediction to retrain the model. For example let say we have a machine learning model capable of predicting the house rent for homes. the user should be able to upload a csv of list of home with key attributes and the output should be a grid view with all the rent predictions. If there is an incorrect prediction user should be able to type in the correct rent which will be used to retrain the model. If you make a course on Udemy will be first to purchase it 😀

[edwardwong]

Very interesting. What is the Rust for?

[ghufrankasho]

this was very helpfull and educational thank you for this video and this collaboration was greate 😇

[shivrajnag]

Awesome session. Hi Sebastian, when can we expect FastAPI docs update with SQLModel?

[pankajchaturvedi]

Does the Jupyter interactive window work, if I am using virtual env for the project?

[AlexApparels-rwip]

thank you so much guys you helped me alot

[flarexlucifer]

so like for me everything went good but now i want to deploy my fastapi to aws lambda how do i it ?

can you tell me it's for my university project.