Develop natural language solutions in Azure: Review

The first lab using Foundry Tools to analyze text sets the tone. You get a pre-configured sandbox and a Python snippet to paste. It works. You see JSON output with entities and sentiment scores. That’s the entire loop for the next six hours: here’s an API, here’s the code to call it, now do the next one. There's no building, just calling. You don't troubleshoot anything or design a solution. The path just cycles through the Azure Language and Speech service endpoints like an interactive API doc. I get what it's for—onboarding a team to the Azure ecosystem—but don't mistake this for learning how to develop a language application. You're just learning how to use one vendor's pre-built tools. It's a six-hour sales pitch with code samples.