Azure AI Agents with Azure Container Apps (Deploy at Scale)
Deploy & scale Azure AI Agents with Azure Container Apps. Learn cloud best practices for productionizing AI solutions.
Course Content
Azure AI Agents with Azure Container Apps (Deploy at Scale) is an intermediate-level Udemy course taught by Kuljot Singh Bakshi. It runs 7h 21m, is taught in English, and includes a certificate of completion. Learners rate it 5.0 out of 5 from 2 reviews, with 46 students enrolled. It is a paid course, first published September 2025.
Building and deploying AI agents in production presents unique challenges. This course, Productionizing Azure AI Agents with Azure Container Apps (ACA), provides the practical skills to move your AI projects from development to reliable, scalable deployments.
Learn how to leverage the power of Azure Container Apps – a serverless, container-native platform – to effortlessly run your AI agents at scale. We'll cover the entire lifecycle, from initial deployment to ongoing management in a production environment.
Here's what you'll master:
- Deploying AI Agents with Best Practices: Discover proven strategies for deploying your AI agents within Azure Container Apps.
- Scalable & Secure Deployments: Implement autoscaling, manage secrets, and utilize revisions to ensure secure and highly scalable AI agent deployments.
- Integrating AI Workflows: Connect your AI agents to essential components like event-driven triggers, storage solutions, and APIs to create robust and efficient workflows.
- Performance & Cost Optimization: Gain expertise in monitoring, troubleshooting, and optimizing your AI agent workloads for peak performance and cost-effectiveness.
By the end of this course, you'll be equipped to design, deploy, and scale enterprise-ready AI agents using the same tools employed by leading cloud teams.
This course is ideal for AI developers, cloud engineers, and DevOps professionals seeking hands-on experience in AI productionization. Whether you're experimenting with Azure OpenAI or managing complex AI workloads, gain the confidence to run AI agents in the cloud – the right way.
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