Cloud, infrastructure & networks - Develop AI cloud solutions on Microsoft Azure (Microsoft AI-200)
A practical course focused on Develop AI cloud solutions on Microsoft Azure (Microsoft AI-200). Participants build skills across three priorities: Implement the hosting of containerized applications on Azure, Deploy and manage applications on Azure Container Apps, Deploy and supervise applications on Azure Kubernetes Service.
Detailed programme
Implement the hosting of containerized applications on Azure
- Store and manage containers in Azure Container Registry Deploy containers on Azure App Service
Hands-on work
- Create and manage a container image with ACR Tasks, deploy a container on Azure App Service.
Deploy and manage applications on Azure Container Apps
- Deploy Containers on Azure Container Apps Manage Containers on Azure Container Apps Scale Containers
Hands-on work
- Deploy a containerized back-end API, diagnose and correct a failed deployment, configure autoscaling with KEDA.
Deploy and supervise applications on Azure Kubernetes Service
- Deploy applications on AKS Configure applications on AKS Supervise and troubleshoot applications
Hands-on work
- Deploy an AI Inference API, configure applications on AKS, solve problems on AKS.
Develop AI solutions with Azure Cosmos DB (NoSQL)
- Create queries for Cosmos DB Implement vector search Optimize query performance
Hands-on work
- Build a RAG documentary storage, create a semantic search application, optimize with vector indexes.
Develop AI solutions with Azure Database for PostgreSQL
- Create and query data Implement vector search Optimize vector search
Hands-on work
- Build a back-end for AI agent, implement vector search, improve vector search performance.
Tell us about your project
Our offices
- Exceev Consulting
61 Rue de Lyon
75012, Paris, France - Exceev Technology
332 Bd Brahim Roudani
20330, Casablanca, Morocco