Extending LLM models using Azure services and tools
InstructorHoussem DellaiComidoc has tracked 11 coupons for this course since 2025, last checked 1h ago. On average, a new coupon appears roughly every 31 days.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| AZURE-RAG-0807 | 100% off | Fully redeemed | 22h 43m | |
| AZURE-RAG-123 | 100% off | Expired | ~4 daysRan full term | |
| AZURE-RAG-0116 | 100% off | Expired | ~4 daysRan full term | |
| AZURE-RAG-0109 | 100% off | Expired | ~4 daysRan full term | |
| AZURE-RAG-10-24C | 44% off | Expired | 4d 5h | |
| AZURE-RAG-10-17 | 100% off | Expired | ~4 daysRan full term |
The curriculum provides specific steps for document processing, including cleaning markdown files, chunking documents to manage token counts, and creating embedding vectors.
Instruction covers creating search indexes in Azure AI Search and configuring RAG workflows within the Azure AI Studio environment.
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Learner signals from before the displayed update suggest the content can feel like a quick tour through code without sufficient explanation of the underlying 'why' behind specific processes. Note that these reviews predate the last-updated date, which does not prove a correction has been made.
One signal notes that Azure AI Studio has been renamed to Azure AI Foundry, which may affect the relevance of specific UI-based instructions.
The curriculum aligns with the stated goal of teaching RAG via Azure tools, though one signal from before the update found the pace challenging for a beginner level. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.