Results for “azure-ai-projects”

Manage Arize AI Observability and Evaluation resources on Azure using the .NET SDK. Create, read, update, and delete Arize organizations via Azure Marketplace.

Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing relationships between resources.

Manage Azure Machine Learning resources including workspaces, jobs, models, data, compute, and pipelines using the SDK v2 for Python.

Configure Azure API Management as an AI Gateway to govern AI models, MCP tools, and agents with policies for caching, rate limiting, content safety, and cost control.

Registers prompt-based AI agents in Azure AI Foundry via REST API from a local JSON manifest, making them immediately available for invocation.

Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing relationships between resources.

Automates Azure OpenAI model deployment by checking capacity across regions and deploying to the best available option.

Run large-scale parallel and HPC batch jobs on Azure using the Batch SDK for Java, managing pools, jobs, tasks, and compute nodes.

Design Azure infrastructure using natural language or analyze existing resources to generate architecture diagrams, refine them through conversation, and deploy with Bicep.

Manages Azure operations including Virtual Machines, App Service, Azure Functions, AKS, Cosmos DB, and Azure AD identity, with guidance on infrastructure as code and operational best practices.

Provisions and manages Azure cloud services for Flutter backends, including AKS clusters, Azure Functions, SQL databases, Cosmos DB, Blob Storage, and Key Vault.