This is a field I've always been interested in, and I was very curious about how it's implemented in other domains or in practice, which was largely resolved. It was very interesting and seems like it will be very helpful for the project I'm planning to undertake. Additionally, while some issues were resolved through previous learning about other Data Bricks or Azure related parts, I'd like to share some points where more explanation in this course would have been beneficial. 1) Methods for connecting other APIs (Section 2, Examples of connecting ChatGPT or other tool APIs instead of Azure OpenAI in the practice environment) 2) Azure VM resource allocation (Sections 3, Section 6, Required for appropriate Databricks Compute settings & Cost Budget Management) 3) Code sharing (Although live coding is preferred, this is to prevent errors when using computing resources under a personal billing model)