Productionize Azure AI Foundry Agents with API Management
Published 5/2025
Duration: 7h 29m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 5.4 GB
Genre: eLearning | Language: English
Published 5/2025
Duration: 7h 29m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 5.4 GB
Genre: eLearning | Language: English
Azure API Management with Prompt Flows, and AI Agents in Azure Foundry & OpenAI - Secure, Scale and Productionize
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.
Requirements
- Knowledge about how the Web Works required
- Knowledge about Restful APIs required
- Knowledge about Generative AI required
Description
Welcome toProductionize Azure AI Foundry Agents with API Management— the ultimate hands-on course for deploying enterprise-ready GenAI services usingAzure OpenAI,Azure AI Foundry, andAzure API Management (APIM).
Whether you're working withprompt flows,custom fine-tuned models, or building full-fledgedAI agents, this course teaches you how to go from prototype toproduction-grade APIs— complete withauthentication, rate limiting, caching, logging, and blue-green deployments.
You'll learn to:
Designscalable AI workflowsusing Azure AI Studio and Foundry
Use Azure API Management tosecurely exposeLLM endpoints
Implementload balancing, versioning, and quota enforcement
Addsemantic cachingfor faster and cheaper inferencing
Monitor usage withAzure Monitor and APIM analytics
Safely release updates usingblue-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 forcloud developers, AI engineers, DevOps professionals, and solution architectswho want to productize AI with real-world infrastructure patterns.
If you're looking to level up from a working GenAI prototype to ahighly 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!
Who this course is for:
- Cloud developers and solution architects looking to productionize GenAI workflows with enterprise-grade security and scalability.
- AI/ML engineers who want to turn their prompt flows and fine-tuned models into secure, monitored APIs using Azure.
- Tech consultants and pre-sales engineers working with clients to build GenAI-powered solutions that meet governance and compliance needs.
- DevOps and platform engineers interested in managing LLM-based services across regions with throttling, caching, and zero-downtime deployments.
More Info