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
- Run AI-generated code securely in Azure Container Apps dynamic sessions
- 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
- Deploy and manage containerised applications on Azure App Service, Azure Container Apps and Azure Kubernetes Service
- Run AI-generated code in isolation using Azure Container Apps dynamic sessions
- Implement vector search in Azure Cosmos DB for NoSQL, Azure Database for PostgreSQL (pgvector) and Azure Managed Redis
- Build serverless AI backends using Azure Functions and Durable Functions
- Integrate backend services for AI solutions using Azure Service Bus and Azure Event Grid
- Manage secrets and configuration for AI applications using Azure Key Vault and Azure App Configuration
- Instrument AI applications and analyse their telemetry using OpenTelemetry and Azure Monitor
Who should attend
- Developers building backend applications on Azure
- Developers building AI-driven applications on Azure
- Developers who need practical skills in containerised compute and data services for AI
- Developers who need practical skills in 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.
Upcoming dates
These sessions run online with LLPA partners. Times are shown in Polish time, and the language of delivery is listed for each date.
| Date | Times (Polish time) | Language | Status | Price | Action |
|---|---|---|---|---|---|
| — | English | Guaranteed to run | 5500 PLN | Request a quote |
5500 PLN
Ask about dates