Databricks MLOps with 2 Lines of Code!

This demo covers a full MLOPs pipeline. We'll show you how Databricks Lakehouse can be leverage to orchestrate and deploy model in production while ensuring governance, security and robustness.
Ingest data and save them as feature store
• Build ML model with Databricks AutoML
• Setup MLFlow hook to automatically test our models
• Create the model test job
• Automatically move model in production once the test are validated
• Periodically retrain our model to prevent from drift
☎️ Do you need any career or technical help? Book a call with me: calendly.com/m...
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[@s.sasisekhar4608]

Informative video

[@mohamedderbeli1839]

thanks for this video!!

[@Data_scientist_t3rmi]

Hello, I have a Machine learning application composed from three models, can you redirect me to one of your videos to help me solve my problem ? i'm a junior data scientist, in my internship i build a question answering system composed with Information retrieval based on NLP transformers. so basically the data in documents which is stored in the application the only input of the model is a query (querstion). the first model will search the top 100 document related to the query, the second model will search the top 5 document among these 100 documents that are related to the query and last a transformer model will tak these 5 docments and extract an answer based on the query simularity. the models works fine on Notebook however when i tried to deploy it i face challenges, I have tried registreing the model (using the multimodel tutorial) in Azure ML studio, i tried also to use Azure Databricks ... but no result. could you please help me on this matter ? or give me some information or direction ?

[@bertobertoberto3]

Good job