1 – Store and manage containers in Azure Container Registry

• Registries, repositories, and artifacts
• Build and run images with ACR Tasks
• Tag and version images
• Module assessment

2 – Deploy containers to Azure App Service

• Deploy containers to Azure App Service
• Configure container runtime behavior
• Configure application settings
• Observe and troubleshoot containerized apps
• Module assessment

3 – Deploy containers to Azure Container Apps

• Explore Container Apps environments
• Deploy a container app using the Azure CLI and YAML
• Configure runtime settings with environment variables and secrets
• Configure image pull authentication for private registries
• Verify deployments with logs and status
• Module assessment

4 – Manage containers in Azure Container Apps

• Update images and manage revisions safely
• Manage the container app lifecycle
• Monitor logs and troubleshoot issues
• Configure health probes and troubleshoot failures
• Optimize container resources and scaling
• Module assessment

5 – Scale containers in Azure Container Apps

• Configure scale rules
• Implement event-driven scaling with KEDA
• Apply KEDA scalers for custom workloads
• Select compute resources for performance and cost
• Choose and apply revision modes
• Module assessment

6 – Deploy applications to Azure Kubernetes Service

• Create Kubernetes deployment manifests
• Expose applications in Azure Kubernetes Services
• Deploy applications to Azure Kubernetes Services
• Module assessment

7 – Configure applications on Azure Kubernetes Service

• Define ConfigMaps for application settings
• Implement secrets for sensitive data
• Attach persistent storage to an app
• Module assessment

8 – Monitor and troubleshoot applications on Azure Kubernetes Service

• Monitor application logs and metrics
• Troubleshoot pods and services
• Verify service connectivity and endpoints
• Module assessment

9 – Build queries for Azure Cosmos DB for NoSQL

• Explore Azure Cosmos DB for NoSQL
• Implement the Azure Cosmos DB for NoSQL SDK
• Query Azure Cosmos DB for NoSQL
• Module assessment

10 – Implement vector search on Azure Cosmos DB for NoSQL

• Store and retrieve embeddings in Azure Cosmos DB
• Execute vector similarity queries for semantic search
• Combine vector similarity results with metadata filtering
• Use the change feed to trigger embedding refresh
• Module assessment

11 – Optimize query performance for Azure Cosmos DB for NoSQL

• Understand indexes in Azure Cosmos DB
• Configure range and composite indexes
• Tune vector indexes for embedding workloads
• Reduce RU costs with strategic indexing
• Choose consistency levels for optimal performance
• Module assessment

12 – Build and query with Azure Database for PostgreSQL

• Explore Azure Database for PostgreSQL
• Connect to PostgreSQL
• Create and manage schemas
• Query data
• Integrate SDKs and applications
• Module assessment

13 – Implement vector search with Azure Database for PostgreSQL

• Store and query embeddings with pgvector
• Perform fast vector similarity search
• Manage index lifecycle and embedding updates
• Run vector similarity search for semantic retrieval
• Implement retrieval patterns for RAG pipelines
• Module assessment

14 – Optimize vector search in Azure Database for PostgreSQL

• Tune PostgreSQL for pgvector
• Choose and configure vector indexes
• Optimize data layout
• Scale for high-volume workloads
• Connection optimization
• Module assessment

15 – Implement data operations in Azure Managed Redis

• Explore Azure Managed Redis
• Client libraries and development best practices
• Implement data operations
• Module assessment

16 – Implement event messaging with Azure Managed Redis

• Publish and subscribe to events with Redis pub/sub
• Implement task queues with Redis Streams
• Choose between broadcast and coordinated distribution
• Module assessment

17 – Implement vector storage in Azure Managed Redis

• Index and query vector data
• Choose vector types and indexing strategies
• Optimize Redis data structures for vector storage
• Module assessment

18 – Queue and process AI operations with Azure Service Bus

• Explore Azure Service Bus concepts and messaging in AI architectures
• Choose between queues and topics with subscriptions
• Structure messages for AI workloads
• Process messages reliably
• Module assessment

19 – Develop event-driven AI workflows with Azure Event Grid

• Understand Azure Event Grid concepts and event-driven patterns for AI solutions
• Work with event schemas and properties
• Configure delivery and retry policies for reliable event processing
• Publish custom events from AI applications
• Module assessment

20 – Build serverless AI backends with Azure Functions

• Understand Azure Functions hosting and scaling for AI workloads
• Set up the local development environment for Functions
• Create triggers and bindings for AI integration patterns
• Manage secrets and configuration in Functions
• Configure identity and access for Functions
• Module assessment

21 – Manage application secrets with Azure Key Vault

• Store and organize secrets, keys, and certificates
• Retrieve secrets using Azure SDK client libraries
• Handle secret versioning and rotation
• Implement caching strategies to reduce Key Vault calls
• Module assessment

22 – Manage application settings with Azure App Configuration

• Connect to App Configuration from application code
• Organize settings with labels and feature flags
• Reference Key Vault secrets from App Configuration
• Decide what to store in App Configuration vs Key Vault
• Module assessment

23 – Instrument an app with OpenTelemetry

• Explore OpenTelemetry and its role in observability
• Add the OpenTelemetry SDK to an application
• Configure spans and traces
• Export telemetry to Azure Monitor
• Debug distributed flows with trace data
• Module assessment

24 – Analyze app telemetry with logs and metrics

• Write basic KQL queries
• Explore logs for errors and performance
• Build dashboards for app telemetry
• Create workbooks for interactive analysis
• Set alerts for app failures and anomalies
• Module assessment