This Learn Live session was about the work that happens before the demo.
When developers build AI solutions, it is tempting to jump straight into prompts, models, and sample code. But the early decisions matter: which Azure AI services to use, how to prepare the development environment, what Azure AI Foundry gives the team, and where responsible AI considerations enter the workflow.
I wanted the session to make planning feel like engineering, not paperwork. Service choice, SDK choice, safety thinking, and environment setup are all architecture decisions.
That experience helped me become more deliberate in my own writing too. A good technical explanation should help someone choose a path, not only follow steps.
Watch the session:
Learn Live: Plan and Prepare to Develop AI Solutions on Azure
Event page: