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In Part 1 we provisioned a Foundry resource, deployed GPT-4.1 mini, and made our first API call from Python. The Bicep template was intentionally minimal — public network, no RBAC, a single deployment type.


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This is the first article in a practical series on Microsoft Foundry — the unified Azure platform for AI applications. Over the next ~10 posts we will explore its features hands-on, from basic model calls all the way to RAG, content saf...


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