Welcome to Free download educational resource and Apps from TUTBB

TUTBB · 2026-08-30T05:47:48+0100

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

Code:

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

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Welcome to Free download educational resource and Apps from TUTBB

AI- 200 Azure AI Cloud Developer Associate

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