Scale & Deploy AI Agents with Azure Container Apps (ACA)

Deploy, scale, and productionize Azure AI Agents using Azure Container Apps with real-world cloud practices.

What you'll learn
- Deploy and scale Azure AI Agents on Azure Container Apps with real-world production patterns.
- Implement autoscaling, revisions, and secrets management to handle enterprise workloads.
- Integrate Azure OpenAI, storage, and event-driven triggers into containerized AI agent workflows.
- Design a production-ready architecture that balances cost, performance, and scalability.
- Troubleshoot, monitor, and optimize Azure Container Apps for AI workloads in production.

Requirements
- Basic familiarity with cloud computing concepts (containers, APIs, scaling).
- An Azure account (free trial is enough for practice).
- Some experience with Python or JavaScript is helpful but not mandatory.
- Curiosity and willingness to learn — all complex topics are explained step by step.

Description
Building AI agents is exciting — but getting them from“it works on my machine”to running reliably in production is the real challenge. This course,Productionizing Azure AI Agents with Azure Container Apps (ACA), is designed to help you bridge that gap.

You’ll start by understanding howAzure Container Appsprovides a serverless, container-native platform that makes running AI agents at scale simple. From there, we’ll dive intodeploying Azure AI Agents, integrating them withAzure OpenAI and Azure AI Foundry, and managing workloads in a production environment.

Key topics include:

Deploying AI agents intoAzure Container Appswith best practices.

Usingautoscaling, secrets, and revisionsto ensure secure and scalable deployments.

Integratingevent-driven triggers, storage, and APIsinto your AI workflows.

Monitoring, troubleshooting, and optimizing forperformance and cost efficiency.

By the end of this course, you’ll know how to design, deploy, and scale AI agents that areenterprise-ready— with the same tools used by modern cloud teams.

This course is perfect forAI developers, cloud engineers, and DevOps professionalswho want hands-on experience with productionizing AI. Whether you’re building prototypes with Azure OpenAI or managing workloads for a team, this course will give you theskills and confidenceto run AI agents in the cloud — the right way.

Who this course is for:
- AI/ML developers who want to take their prototypes into production on Azure.
- Cloud engineers curious about serverless containerization and AI workloads.
- Software developers looking to integrate Azure OpenAI and agents into real-world applications.
- DevOps and SRE professionals interested in scaling, monitoring, and securing AI agents.
- Tech enthusiasts who want to explore how Azure Container Apps makes AI workloads production-ready.
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