babymore87
MyBoerse.bz Pro Member
Free Download AI-200 Azure AI Cloud Developer Associate
Published 8/2026
Created by Christopher Nett | 150.000+ Enrollments
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 90 Lectures ( 8h 29m ) | Size: 2.8 GB
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 solutionsRequirements
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 secretsImplement 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 connectivityDevelop 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 itemsDevelop 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 latencyIntegrate Azure Managed Redis in AI solutions
Implement Azure Managed Redis data operations, including caching, expiration, and invalidation Implement vector indexing to enable similarity searchConnect 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 retriesDevelop and implement Azure Functions
Build serverless APIs, including implementing triggers and bindings Configure and deploy function appsSecure, 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 ConfigurationMonitor and troubleshoot Azure solutions
Trace distributed systems by using OpenTelemetry SDKs Write KQL queries to analyze logs and metricsThis course contains promotional materials.
Who this course is for
Developer Cloud Engineer Cloud Architect IT Administrator IT Manager Identity ArchitectHomepage
Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live
No Password - Links are Interchangeable
