I recently found myself in a similar situation – my company was stuck in the dark ages of technology, and I was used to building models the old-fashioned way. I’d query data from our SQL Server databases, train and test models in Jupyter Notebooks, and then send the results to stakeholders as files. It worked, but it wasn’t exactly efficient.
Then, my company opened up Azure accounts for me and my manager, and suddenly we were faced with the daunting task of learning an entirely new way of doing things. I mean, who needs a dedicated Dev team or DE team when you have Azure, right?
The problem was, Microsoft has so much documentation that it’s overwhelming. I felt like I was spending more time reading articles than actually getting anything done. I needed a beginner-friendly guide to help me transition my workflow to the cloud.
If you’re in the same boat, here are some tips to get you started:
First, start small. Don’t try to learn everything about Azure at once. Focus on one task, like deploying a simple model, and then build from there.
Next, take advantage of Azure’s free resources, like tutorials and online courses. They’re designed to be beginner-friendly and will help you get up to speed quickly.
Third, don’t be afraid to ask for help. The Azure community is active and supportive, and you can find answers to most of your questions online.
Finally, be patient with yourself. Learning a new platform takes time, and it’s okay to make mistakes. The important thing is that you’re taking the first step towards modernizing your company’s technology.
So, if you’re ready to take the leap and start building models in Azure, I say go for it! It may seem daunting at first, but with practice and patience, you’ll be deploying models like a pro in no time.