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Develop AI cloud solutions on Azure
Duration
5 Days
Course
MOC-AI-200T00-A
Available Formats
Classroom Training, Online Training
Course Description
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.Objectives
After the end of this course, you will be able to:
- Explain how Azure Container Apps environments affect networking, logging, and isolation.
- Deploy a container app using the Azure CLI and using the Azure CLI with a YAML definition.
- Configure runtime settings using environment variables and secrets.
- Configure image pull authentication for private registries.
- Verify container app health using logs, revisions, and replica status.
- Create Kubernetes deployment manifests
- Deploy and expose applications to Azure Kubernetes Service
- Explain the Azure Cosmos DB for NoSQL resource model and how databases, containers, and items relate to each other
- Implement SDK operations to connect to Azure Cosmos DB and perform CRUD operations on items
- Select between point reads and queries based on performance requirements and access patterns
- Build queries using SQL syntax to filter, project, and retrieve data from containers
Audience
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.
Prerequisites
- Programming experience with languages such as Python, JavaScript, or C#.
- Basic understanding of Azure services and cloud computing concepts.
- Familiarity with containerization fundamentals.
- Basic understanding of Azure services and cloud computing concepts.
- Familiarity with container concepts.
- Familiarity with command-line tools including Azure CLI.
- Programming experience with languages such as Python, JavaScript, or C#.
- Basic understanding of Azure services and cloud computing concepts.
- Familiarity with containerization and Kubernetes fundamentals.
- Access to Azure Kubernetes Service and related tools for practical exercises.
- Programming experience with Python
- Basic understanding of Azure services and cloud computing concepts
- Familiarity with JSON document structures
Topics
- Implement container application hosting on Azure
- Store and manage containers in Azure Container Registry
- Deploy containers to Azure App Service
- Run sidecar-enabled AI applications on Azure App Service
- Deploy and manage apps on Azure Container Apps
- 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 and monitor applications on Azure Kubernetes Service
- Deploy applications to Azure Kubernetes Service
- Configure applications on Azure Kubernetes Service
- Monitor and troubleshoot applications on Azure Kubernetes Service
- Develop AI solutions with Azure Cosmos DB for NoSQL
- 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
- Develop AI solutions with Azure Database for PostgreSQL
- Build and query with Azure Database for PostgreSQL
- Implement vector search with Azure Database for PostgreSQL
- Optimize vector search in Azure Database for PostgreSQL
- Enhance AI solutions with Azure Managed Redis
- Implement data operations in Azure Managed Redis
- Implement event messaging with Azure Managed Redis
- Implement vector storage in Azure Managed Redis
- Integrate backend services for AI solutions
- 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 and configuration for AI solutions
- Manage application secrets with Azure Key Vault
- Manage application settings with Azure App Configuration
- Observe and troubleshoot apps on Azure
- Instrument an app with OpenTelemetry
- Analyze app telemetry with logs and metrics
Related Courses
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- Price: 595.00 USD
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Develop natural language processing solutions with Azure AI Services
MOC-AI-3003- Duration: 1
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Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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Please take a moment to fill out this form. We will get back to you as soon as possible.
All fields marked with an asterisk (*) are mandatory.