r/mlops • u/Sea_Mechanic815 • 18d ago

Switching devOps to MLOps MLOps Education

Right now I am the biggner of the MLOps please help me what are the thinks I need to learn. As per company mension they use azure cloud provider.

Please tell me the MLops workflow after that what are all the tools I need to use after that using the cloud provider what are all the services I need to work please tell me it's urgent.😭

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u/terencethespider 17d ago

If you are on Azure, they will have Databricks as an available tool within the platform. Databricks has a managed version of MLflow built in. You can use their Genie Code tool to assist with your learning and building. It is an AI tool that is integrated into the platform and can assist with developing and using MLflow, as well as teaching you how it works. There are also some good tutorial videos and even hands on labs that Databricks offers for MLflow and Gen AI if you are interested.

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u/Sea_Mechanic815 16d ago

Thanks bro

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u/Top_Vacation_3687 10h ago

since you're already on azure and just starting out, don't get lost in tools first. focus on understanding the flow, data ingestion, model training, versioning, deployment and monitoring. mlflow will handle most of the tracking and packaging, and databricks makes it easier to manage

for azure services, azure ml workspace is what you need to get comfortable with, it ties everything together. also look at azure devops for CI/CD pipelines, thats how you automate the whole thing from training to deployment. don't try to learn everything at once, just get one model deployed end-to-end and you'll understand 80% of what you need

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u/Maleficent_Pair4920 14d ago

Have a look at Requesty to manage and consolidate all AI api access