Deploy containers without making cluster administration your starting point. This course explores Azure Container Apps through practical examples that connect application deployment, scaling, networking, identity, storage, and delivery automation. Start with a sample container, then follow more detailed scenarios involving frontend and backend services.

Build, run, and operate containerized applications

See how an application and its Container Apps environment fit together, then explore the decisions that shape day-to-day behavior: how a job runs, what triggers scaling, where data lives, which revision receives traffic, and how you investigate an application through its logs.

What you will explore

• Deploy sample applications through the Azure portal, YAML configuration files, and Azure CLI.

• Run Container Apps Jobs and explore KEDA-driven scaling, including a Service Bus scaler and an authentication-focused lab.

• Manage secrets, revisions, and traffic splitting, and investigate applications with logs and Grafana dashboards.

• Build and deploy frontend and backend applications, including examples using Azure Container Registry and managed identity.

• Compare container file-system storage, EmptyDir ephemeral storage, and persistent Azure file shares.

• Configure custom domains, managed certificates, workload profiles, and application networking.

• Explore Application Gateway with HTTPS, private endpoints, private DNS considerations, and the container, service, and ingress networking layers.

• Automate deployments with GitHub Actions, Azure DevOps, Bicep, and Terraform, including Container Apps landing-zone implementations.

• Connect to other Azure services with Service Connector and explore ACR access control with ABAC.

Explore AI workloads as well as application services

The later modules extend the platform examples to language models and media-generation workflows. Explore serverless GPU hosting with vLLM, a Gemma4 deployment on NVIDIA A100, multimodal requests, Open WebUI, and GPU monitoring. Separate demonstrations cover deploying ComfyUI, text-to-image and video-generation workflows, and running DeepSeek R1.

Who this course is for

Developers, cloud engineers, and DevOps practitioners who already understand basic containers will benefit from this progression. Familiarity with Azure will help with the resource and networking demonstrations. The course brings together introductory explanations and deeper deployment examples, so you can build the foundations first and then focus on the scenarios most relevant to your applications.

Use the demonstrations to connect platform features with practical application needs, rather than treating each Azure setting as an isolated task.