Azure API Management with Prompt Flows, and AI Agents in Azure Foundry & OpenAI – Secure, Scale and Productionize
Welcome to Productionize Azure AI Foundry Agents with API Management — the ultimate hands-on course for deploying enterprise-ready GenAI services using Azure OpenAI, Azure AI Foundry, and Azure API Management (APIM).
What you’ll learn
- Design and deploy GenAI workflows using Azure OpenAI and Azure AI Foundry with production-grade reliability..
- Secure and expose GenAI services via REST APIs using Azure API Management, with proper authentication and rate limiting..
- Implement real-world API management techniques such as semantic caching, load balancing, and circuit breaker patterns..
- Build scalable, versioned, and monetizable GenAI APIs with zero-downtime deployments and monitoring dashboards..
Course Content
- Introduction –> 1 lecture • 6min.
- GenAI With APIM – Introduction to AI Specific APIM Use-Cases –> 1 lecture • 24min.
- Azure API Management Basics –> 14 lectures • 2hr 9min.
- GenAI With APIM – Azure OpenAI with APIM –> 3 lectures • 58min.
- GenAI with APIM – Building an OpenAI API from Scratch (For Better Understanding) –> 3 lectures • 32min.
- GenAI with APIM – AI Foundry with APIM –> 4 lectures • 40min.
- GenAI with APIM – Semantic Cache with Azure Redis Cache –> 4 lectures • 1hr.
- GenAI with APIM – Content Safety Filters –> 5 lectures • 53min.
- GenAI with APIM – Multi-Region Load Balanced Deployments –> 4 lectures • 46min.
- GenAI with APIM – Prompt Flow Integration –> 7 lectures • 1hr 44min.
Requirements
Welcome to Productionize Azure AI Foundry Agents with API Management — the ultimate hands-on course for deploying enterprise-ready GenAI services using Azure OpenAI, Azure AI Foundry, and Azure API Management (APIM).
Whether you’re working with prompt flows, custom fine-tuned models, or building full-fledged AI agents, this course teaches you how to go from prototype to production-grade APIs — complete with authentication, rate limiting, caching, logging, and blue-green deployments.
You’ll learn to:
- Design scalable AI workflows using Azure AI Studio and Foundry
- Use Azure API Management to securely expose LLM endpoints
- Implement load balancing, versioning, and quota enforcement
- Add semantic caching for faster and cheaper inferencing
- Monitor usage with Azure Monitor and APIM analytics
- Safely release updates using blue-green deployment strategies
By the end, you’ll not only understand how to build intelligent solutions — you’ll be able to serve them at scale across teams or customers using Azure-native best practices.
This course is ideal for cloud developers, AI engineers, DevOps professionals, and solution architects who want to productize AI with real-world infrastructure patterns.
If you’re looking to level up from a working GenAI prototype to a highly available, secure, and monetizable AI service, this course is for you.
If you love the cloud, if you love GenAI, and if you love making things that actually work at scale — you’re in the right place.
So gear up… we’re just getting started. See you inside!