Feb 24
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Most developers jump straight into complex AI architectures using Azure AI Foundry, agents, and orchestration. But here’s the truth — not every use case needs that level of complexity. In this video, I break down when you can skip Foundry completely and use the Azure OpenAI resource endpoint directly. If your use case involves: • Document summarization • Email classification • Sentiment analysis • Data extraction • Response generation • Code assistance Then a simple backend → Azure OpenAI endpoint setup is often faster, cheaper, and easier to maintain. 💡 Key takeaway: Foundry = Orchestration Resource Endpoint = Inference I also walk through a real-world customer support automation example where we: • Classify emails • Detect sentiment • Extract order IDs • Generate response drafts No agents. No orchestration. Just clean, scalable AI. 👉 Perfect for developers building real enterprise applications. 00:00 – Foundry or OpenAI Endpoint? 1:00 – Infrastructure 1:35 – Foundry Project or Foundry Resource? 2:35 – Use-Case Discussion 3:40 – Script Explanation 6:45 – Running the Script 8:08 – Bonus Tip GitHub Link: https://github.com/laizy-bro/OpenAIendpoint.git #AzureOpenAI #AIEngineering #GenerativeAI #MachineLearning #AzureAI #LLM #AIArchitecture #BackendDevelopment #Developers #TechSimplified #AIForDevelopers #SoftwareEngineering