Name: AI-200T00: Develop AI cloud solutions on Microsoft Azure
Availability: InStock
Rating: 4.6 (5878 reviews)

Duration:

40.00 hours

32.5 CPD hours

Overview:

This course teaches developers how to create, monitor, and troubleshoot AI solutions on Microsoft Azure. Students will learn how to implement Azure compute and containerization patterns to host applications, build serverless APIs with Azure Functions, and integrate services using event-driven and message-based architectures such as Azure Service Bus and Event Grid. The course also covers working with Azure data services that support AI workloads, including designing and querying solutions with Cosmos DB for NoSQL, Azure Database for PostgreSQL with pgvector, and Azure Managed Redis for caching, streaming, and vector search. By the end of the course, developers will be able to connect services, orchestrate AI workflows, and build secure, scalable, and observable AI-driven applications on Azure.

Description:

This course teaches developers how to create, monitor, and troubleshoot AI solutions on Microsoft Azure. Students will learn how to implement Azure compute and containerization patterns to host applications, build serverless APIs with Azure Functions, and integrate services using event-driven and message-based architectures such as Azure Service Bus and Event Grid. The course also covers working with Azure data services that support AI workloads, including designing and querying solutions with Cosmos DB for NoSQL, Azure Database for PostgreSQL with pgvector, and Azure Managed Redis for caching, streaming, and vector search. By the end of the course, developers will be able to connect services, orchestrate AI workflows, and build secure, scalable, and observable AI-driven applications on Azure.

Course Outline:

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

Available Delivery Options for AI-200T00: Develop AI cloud solutions on Microsoft Azure

Live Instructor Led Classroom Online (Live Online)
Traditional Instructor Led Classroom training (TILT/ILT)
Delivery at your offices in United Kingdom
Private dedicated course for your staff

Which exam does AI-200T00: Develop AI cloud solutions on Microsoft Azure prepare you for?

The AI-200T00: Develop AI cloud solutions on Microsoft Azure prepares you for the 'AI-200' official exam. You can take this exam at any exam center across United Kingdom including London, Manchester, Birmingham, Edinburgh or live online wherever you are.

How many CPD hours does AI-200T00: Develop AI cloud solutions on Microsoft Azure provide?

The 5 day AI-200T00: Develop AI cloud solutions on Microsoft Azure course gives you up to 32.5 CPD hours/structured learning hours.

Who is the correct audience for AI-200T00: Develop AI cloud solutions on Microsoft Azure?

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.

Do you provide training for AI-200T00: Develop AI cloud solutions on Microsoft Azure?

Yes, we provide corporate training, dedicated training and closed classes for AI-200T00: Develop AI cloud solutions on Microsoft Azure. This can take place anywhere in United Kingdom including London, Manchester, Birmingham, Edinburgh or live online.

What is the duration of AI-200T00: Develop AI cloud solutions on Microsoft Azure?

The AI-200T00: Develop AI cloud solutions on Microsoft Azure training takes place over 5 day(s), with each day lasting approximately 40.00 hours including breaks.

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Why are Nexus Human the best provider for AI-200T00: Develop AI cloud solutions on Microsoft Azure?

Nexus Human are recognised as one of the best training companies. Our trainers have won awards including Small Firms Best Trainer, national training partner of the year for Ireland, and global top 30 instructor awards in 2012, 2019 and 2021.

Is there a discount code for AI-200T00: Develop AI cloud solutions on Microsoft Azure?

Yes, the discount code PENPAL5 is currently available for AI-200T00: Develop AI cloud solutions on Microsoft Azure training. Only one discount code can be used per booking.

AI-200T00: Develop AI cloud solutions on Microsoft Azure