Optimizing and Securing LLM Models with Azure API Management: Load Balancing, Authentication, Semantic Caching, and Priv
InstructorHoussem DellaiComidoc has tracked 11 coupons for this course since 2025, last checked 2 months, 4 days ago. On average, a new coupon appears roughly every 37 days.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| AZURE-APIM-0821 | 44% off | Expired | 2d 16h | |
| AZURE-APIM-0807 | 100% off | Expired | 30d 14h | |
| AZURE-APIM-123 | 44% off | Expired | 4d 11h | |
| AZURE-APIM-0116 | 100% off | Expired | ~4 daysRan full term | |
| AZURE-APIM-0109 | 100% off | Expired | ~4 daysRan full term | |
| AZURE-APIM-10-24C | 100% off | Expired | ~4 daysRan full term |
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This screenshot displays the Azure API Management policy editor, showing XML configuration for managed identity authentication and header manipulation within the inbound section.
The Azure API Management dashboard displays the integration options for adding APIs, specifically highlighting the Azure OpenAI Service tile within the Create from Azure resource section.
This slide illustrates the GenAI Gateway capabilities within Azure API Management, connecting intelligent applications to various AI services through features like load balancing and authentication.
This visual overview illustrates the system architecture for Azure API Management with Generative AI, detailing the flow from application requests to backend models.
Instruction covers connecting services using various methods including the Azure Portal, CLI, Terraform, and Python Jupyter Notebooks.
The curriculum includes specific configurations for load balancing and semantic caching tailored for LLM models.
The curriculum focuses on specific technical demonstrations rather than building a single, large-scale end-to-end project.
