Summary

This chapter focused on data science and AI on Azure. We started by outlining the different roles involved in a data science team, including the responsibilities of data architects, engineers, scientists, and machine learning engineers, and how the collaboration between these roles is key to building successful AI solutions.

We then focused on the role of the data architect when designing an AI solution, outlining the questions they should ask themselves for a well-architected design.

Next, we delved into the various AI services offered by Azure, including Azure Cognitive Services, Azure Machine Learning, and Azure OpenAI Service. For Azure Cognitive Services, we saw speech, vision, language, and decision-making models. For Azure OpenAI Service, we explored the GPT model family, Codex, and DALL-E 2.

We then introduced the concept of MLOps, along with mapping the different steps in the MLOps process to components with Azure Machine Learning, the workspace used for custom...