AI-200: Azure AI Cloud Developer Associate Exam

BECOME A MICROSOFT CERTIFIED AZURE AI DEVELOPER

Complete preparation for the Microsoft AI-200 Azure AI Developer certification exam.

This course is designed for developers, IT professionals, architects, and AI enthusiasts who want to build practical AI solutions on Microsoft Azure while preparing for the AI-200 certification exam.

Unlike courses that rely heavily on slides and theory, this course teaches through live demonstrations, real coding examples, and practical walkthroughs in Azure AI Foundry and the Azure Portal. You'll see services configured, applications built, code written, and AI solutions implemented step-by-step.

The course also includes:

• Live demonstrations in the Azure portal and VS Code

• Real coding examples and developer-focused walkthroughs

• A GitHub repository containing downloadable source code examples

• PDF cheat sheets and reference guides for important topics such as KQL

• Coverage of every AI-200 exam objective

What students are saying:

★★★★★ “Great in-depth coverage, easy to understand, good examples to practice.” – Andy K.

★★★★★ “Good explanation, easy to catch up.” – Paul C.

★★★★★ “Seems up to date and thorough, and is a really good bargain.” – Stephen I.

Throughout this course, you'll learn how modern AI applications are designed, developed, deployed, and managed using Microsoft's AI platform. You'll gain practical experience with Azure AI technologies while building the knowledge required to pass the certification exam.

Topics covered include:

• Azure Container Registry and ACR Tasks

• Deploying containers to Azure App Service

• Azure Container Apps, including KEDA event-driven scaling

• Azure Kubernetes Service (AKS) with manifests, monitoring, and troubleshooting

• Azure Cosmos DB for NoSQL — queries, indexing, RU optimization, vector search, and change feed

• Azure Database for PostgreSQL — schemas, indexing, pgvector, RAG patterns, and connection optimization

• Azure Managed Redis — caching and vector indexing for similarity search

• Azure Service Bus (queues, topics, subscriptions, dead-letter handling)

• Azure Event Grid for event-driven workflows

• Azure Functions — triggers, bindings, and deployment

• Azure Key Vault and Azure App Configuration

• OpenTelemetry tracing and KQL for logs and metrics

  
  

Whether you're coming from AZ-204-style Azure development or you're new to AI backends on Azure, you can follow the full path or jump to the topics you need most.

This course follows the official Microsoft AI-200 skills outline. Each objective is covered with demonstrations and clear explanations so you understand both the exam and how you'd use it at work.

Your instructor, Scott Duffy, has taught more than 1.6 million students worldwide and has over 25 years of experience in software development, cloud computing, and Microsoft Azure. His practical teaching style focuses on helping students understand not just what to do, but why it matters.

If you're ready to build modern AI solutions on Azure and prepare for the Microsoft AI-200 certification, enroll today.

Microsoft, Windows, and Microsoft Azure are either registered trademarks or trademarks of Microsoft Corporation in the United States and/or other countries. This course is not certified, accredited, affiliated with, nor endorsed by Microsoft Corporation.