MLOps - Machine Learning Deployment with CI/CD pipeline - Part 1

#machinelearning #streamlit #mlops
Link to model training video - • Transfer Learning - Im...
Cloud Build is a managed service on Google Cloud Platform that allows you to continuously build, test and deploy containers on various google services like GKE, Cloud Run, App Engine and others
Cloud Build can import source code from a variety of repositories or cloud storage spaces, execute a build to your specifications, and produce artifacts such as Docker containers or Java archives.

[@sujithreddykethireddy3989]

Very much useful content. Thank you very much sir...

[@sathyasaicheetirala6771]

@AIEngineering The videos are very Informative, any videos related to Kubeflow pipelines(MLOPS) how to import prebuild model, select best model from multiple models, how to handle data drift ,Monitoring the results on GCP, could you please upload related videos. Thank you very much for uploading videos on GCP.

[@abhishekpawar921]

True, it would be interesting.

[@apremgeorge]

Much appreciated for the Video, May I please know machine capacity used for training a model based on your experience, what is your biggest data size you have trained, How many Records and Columns, What capacity machine used like, if CPU how many cores and RAM is required for that data, if GPU how much? for eg: a LGBM, XGB or Keras Sequential model with hyperparameters Tuning considering the data is cleaned, Thank you very much in Advance.

[@henrystevens3993]

Thanks for this video

[@atlapavan5359]

could you please share the code.
that code Is to build the infra right?

[@biswajitroy-zp6lk]

Can you pls share the .yaml files