Develop AI cloud solutions on Azure

This 5-day course equips developers with the skills to build AI-drive applications on Microsoft Azure using containers, serverless services, AI data platforms, and event-driven architectures. Participants also learn to secure, monitor, and optimize scalable cloud applications through modern Azure services and observability tools. - ABIS

This course is formerly known as AZ-204. 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. 

This course:

  • Store and manage container images in Azure Container Registry
  • Deploy and host containerized applications using Azure App Service
  • Deploy, manage and scale applicaitons on Azure Container Apps
  • Deploy, configure, monitor and troubleshoot applications on Azure Kubernetes Service (AKS)
  • Build and optimize AI solutions using Azure Cosmos DB for NoSQL
  • Implement vector search on Azure Cosmos DB for NoSQL
  • Optimize query performance for Azure Cosmos DB for NoSQL
  • 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
  • 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

Schedule a training?

Delivered as a live, interactive training: available in-person or online, or in a hybrid format.

REQUEST IN-COMPANY TRAINING

 

Public training calendar

No public sessions are currently scheduled. We will be pleased to set up an on-site course or to schedule an extra public session (in case of a sufficient number of candidates). Interested? Please let us know.

Intended for

Developers who build backend and AI-driven applications on Azure and need practical skills in containerized compute, data services, event-drive workflows, and application and monitoring.

Background

To be successful in this course, learners should have the following background:

  • Hands-on experience with Azure IaaS and PaaS solutions, and the Azure Portal.
  • Experience writing in an Azure supported language at the intermediate level. (C#, JavaScript, Python, or Java)
  • Ability to write code to connect and perform operations on, a SQL or NoSQL database product. (SQL Server, Oracle, MongoDB, Cassandra or similar)
  • Experience writing code to handle authentication, authorization, and other security principles at the intermediate level.
  • A general understanding of HTML, the HTTP protocol and REST API interfaces.

Main topics

Implement container application hosting on Azure

  • Store and manage containers in Azure Container Registry
  • Deploy containers to 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

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

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

Training method

Instructor-led live training with exercises: available in-person or online, or in a hybrid format.

 

Certificate

At the end of the session, the participant receives a 'Certificate of Completion'.

Duration

5 days.

Course leader

Fast Lane: official AZURE training partner


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