TrainingArtificial intelligence / Data & AIAI-200
AI-200Microsoft · authorised trainingLeads to an exam
Develop AI cloud solutions on Azure
This training covers how to build, run, and monitor AI solutions on Azure using containers, serverless functions, and event-driven architectures. Participants learn about data services supporting AI workloads, including Cosmos DB, Azure Database for PostgreSQL with pgvector, and Azure Managed Redis, including vector search. The course also addresses secrets management, configuration, and observability for AI applications on Azure.
- Duration
- 5 days
- Level
- Intermediate
- Provider
- Microsoft
- Topic
- Artificial intelligence / Data & AI
Course outline
- Store and manage containers in Azure Container Registry
- Deploy containers to Azure App Service
- Run sidecar-enabled AI applications on Azure App Service
- Deploy containers to Azure Container Apps
- Manage containers in Azure Container Apps
- Scale containers in Azure Container Apps
- Deploy applications to Azure Kubernetes Service
- Configure applications on Azure Kubernetes Service
- Monitor and troubleshoot applications on Azure Kubernetes Service
- Build queries for Azure Cosmos DB for NoSQL
- Implement vector search on Azure Cosmos DB for NoSQL
- Optimize query performance for Azure Cosmos DB for NoSQL
- Build and query with Azure Database for PostgreSQL
- Implement vector search with Azure Database for PostgreSQL
- Optimize vector search in Azure Database for PostgreSQL
- Implement data operations in Azure Managed Redis
- Implement event messaging with Azure Managed Redis
- Implement vector storage in Azure Managed Redis
- Queue and process AI operations with Azure Service Bus
- Develop event-driven AI workflows with Azure Event Grid
- Build serverless AI backends with Azure Functions
- Orchestrate durable AI workflows with Azure Durable Functions
- Manage application secrets with Azure Key Vault
- Manage application settings with Azure App Configuration
- Instrument an app with OpenTelemetry
- Analyze app telemetry with logs and metrics
Skills you will gain
- Deploying and managing containerized applications on Azure App Service, Azure Container Apps, and Azure Kubernetes Service
- Implementing vector search in Azure Cosmos DB for NoSQL, Azure Database for PostgreSQL (pgvector), and Azure Managed Redis
- Building serverless AI backends using Azure Functions and Durable Functions
- Integrating backend services for AI solutions using Azure Service Bus and Azure Event Grid
- Managing application secrets and configuration for AI solutions using Azure Key Vault and Azure App Configuration
- Instrumenting and analyzing telemetry for AI applications using OpenTelemetry and Azure Monitor
Who should attend
- This course is designed for developers who build backend and AI-driven applications on Azure and need practical skills in containerized compute, data services for AI, event-driven workflows, and application security and monitoring
Certification
Exam
AI-200 - Microsoft Certified: Azure AI Cloud Developer Associate
This course prepares you for this exam.
5500 PLN
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