Thank you for watching this tutorial! I hope you found it useful. If you want to learn more about Docker and MLOps, the following tutorials would be also beneficial for you: 1. Data Versioning Control with Real ML Project: th-cam.com/video/80jL1PB9QqM/w-d-xo.html 2. How to build ML Architecture with AWS SageMaker + Lambda + API Gateway: th-cam.com/video/stD47vPDadI/w-d-xo.html 3. Dockerize Flask API application with Dockerfile and Docker Compose: th-cam.com/video/6E-F9KLnhb8/w-d-xo.html 4. Microservices with FastAPI and Docker: th-cam.com/video/cTTTC3IhkDc/w-d-xo.html 5. How to Deploy ML model to AWS Sagemaker with mlflow and Docker: th-cam.com/video/FsoSBsrcx9Q/w-d-xo.html Enjoy and happy learning!
Thank you for watching this tutorial! I hope you found it useful.
If you want to learn more about Docker and MLOps, the following tutorials would be also beneficial for you:
1. Data Versioning Control with Real ML Project: th-cam.com/video/80jL1PB9QqM/w-d-xo.html
2. How to build ML Architecture with AWS SageMaker + Lambda + API Gateway: th-cam.com/video/stD47vPDadI/w-d-xo.html
3. Dockerize Flask API application with Dockerfile and Docker Compose: th-cam.com/video/6E-F9KLnhb8/w-d-xo.html
4. Microservices with FastAPI and Docker: th-cam.com/video/cTTTC3IhkDc/w-d-xo.html
5. How to Deploy ML model to AWS Sagemaker with mlflow and Docker: th-cam.com/video/FsoSBsrcx9Q/w-d-xo.html
Enjoy and happy learning!
thanks a lot for this useful content!
Thanks for such feedback, it's inspiring!
Brilliant! Thank you very much :) It helped me a lot!
Thank you for feedback! Appreciate! :)
Thank you very much :)
Thank you so much!
Thank you for watching! :)