Also if you want a quick guide of how the ML patterns correlate with each other here is the github link and a video where the authors explain four of the patterns from the book
MLOPS on Azure
If you have been working on azure and want help in pushing your ML models to production using Azure here is the link - https://github.com/Microsoft/MLOps
MLOPS maturity model
Your data scientist starts out with hand coding and hand pushing the models into production - this is MLOPS stages 0, do you know what MLOPS stage 3 is? To find out here is a detailed account of MLOPS maturity models
MLOPS databricks templates
Want to use a cookie cutter template to create your CI/CD model using Databricks, here is the template you can use
And lastly a note of thanks to our sponsors
DataScience cannot create revenue for business unless ML models are pushed to production, Abundanceai.com helps in one click deployments of your ML models on the cloud or within your local datacenter.