Code as a product

Turn your python code as a package to be installed everywhere.

ML iterations

Keep track of your different training iterations with MLFlow.

Train at scale

Use the power of the cloud computing to train your model on a very large dataset with Google Colab and AI platform.

Predict in production

• Build your predictive API with FastAPI
• Mount the API in a Docker container
• Deploy the API on Google Cloud Run to make prediction in production

User interface

• Build a user interface with Streamlit
• Plug your API to a user interface to build a predictive product
• Deploy a user interface on Heroku for your predictive product