Tutorials > AI-200 Azure AI Cloud Developer Associate

AI-200 Azure AI Cloud Developer Associate

Date: 30 August 2026 | Posted by: voska89

Pass AI-200 | Elevate your career

What you'll learn

⚡ Implement containerized solutions
⚡ Implement Azure App Service Web Apps
⚡ Implement Azure Functions
⚡ Develop solutions that use Azure Cosmos DB
⚡ Develop solutions that use Azure Blob Storage
⚡ Implement user authentication and authorization
⚡ Implement secure Azure solutions
⚡ Implement caching for solutions
⚡ Troubleshoot solutions by using Application Insights
⚡ Implement API Management
⚡ Develop event-based solutions
⚡ Develop message-based solutions

Requirements

❗ Basic IT Knowledge
❗ Willingness to learn cool stuff!

Description

This course contains the use of artificial intelligence.
AI-200, is a meticulously structured Udemy course aimed at IT professionals seeking to pass the AI-200 exam. This course systematically walks you through the initial setup to advanced implementation with real-world applications.
By passing AI-200, you're gaining proficiency in the highly recognized Microsoft Azure ecosystem.
Develop containerized solutions on Azure (20–25%)
Implement container application hosting
✨ Build, store, version, and manage container images by using Azure Container Registry
✨ Build and run images by using Azure Container Registry Tasks
✨ Deploy containers to Azure App Service, including configuring App Service to supply environment variables and secrets
Implement container-orchestrated solutions
✨ Deploy applications to Azure Container Apps, including environment configuration and revision management
✨ Implement event-driven scaling by using Kubernetes Event‑driven Autoscaling (KEDA) in Container Apps
✨ Deploy and manage applications to Azure Kubernetes Service (AKS) by using manifest files
✨ Monitor and troubleshoot solutions on AKS and Container Apps by inspecting logs, events, and end-to-end connectivity
Develop AI solutions by using Azure data management services (25–30%)
Develop AI solutions by using Azure Cosmos DB for NoSQL
✨ Connect to Azure Cosmos DB for NoSQL by using the SDK and run queries
✨ Optimize query performance and Request Units (RUs) consumption by using indexing policies and consistency levels
✨ Store and retrieve embeddings and execute vector similarity search for semantic retrieval
✨ Implement a change feed processor to detect and handle new or updated items
Develop AI solutions by using Azure Database for PostgreSQL
✨ Connect and query Azure Database for PostgreSQL by using SDKs
✨ Model schemas and implement indexing strategies, including designing tables and choosing appropriate data types
✨ Implement indexing strategies, including optimizing query latency and reducing pgvector compute overhead
✨ Configure compute, memory, and storage resources to support vector workloads
✨ Run vector similarity search, including storing embeddings, semantic retrieval, and implementing retrieval-augmented generation (RAG) patterns by using metadata filter
✨ Implement connection optimization to improve throughput and minimize latency
Integrate Azure Managed Redis in AI solutions
✨ Implement Azure Managed Redis data operations, including caching, expiration, and invalidation
✨ Implement vector indexing to enable similarity search
Connect to and consume Azure services (20–25%)
Develop event- and message-based AI solutions
✨ Queue and process back-end operations by using Azure Service Bus, including dead-letter queue handling, messages, topics, and subscriptions
✨ Implement event-driven workflows by using Azure Event Grid, including filters, custom events, and retries
Develop and implement Azure Functions
✨ Build serverless APIs, including implementing triggers and bindings
✨ Configure and deploy function apps
Secure, monitor, and troubleshoot Azure solutions (20–25%)
Implement secure Azure solutions
✨ Secure secrets by using Azure Key Vault, including rotation and retrieval
✨ Store and retrieve app configuration information by using Azure App Configuration
Monitor and troubleshoot Azure solutions
✨ Trace distributed systems by using OpenTelemetry SDKs
✨ Write KQL queries to analyze logs and metrics
This course contains promotional materials.

Who this course is for

⭐ Developer
⭐ Cloud Engineer
⭐ Cloud Architect
⭐ IT Administrator
⭐ IT Manager
⭐ Identity Architect

Homepage

https://www.udemy.com/course/ai-200-azure-ai-cloud-developer-associate-m

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