Streamline AI App Development with Azure App Platform - Session 146

Übersicht

Master Azure's developer tools and services to build scalable AI applications, optimizing performance through App Service, Kubernetes, Functions, and Container Apps while reducing costs.

Lehrplan

• Introduction to Azure App Platform
Overview of Azure services for AI app development
Key features and benefits for developers
• Azure App Service
Setting up and deploying scalable web apps
Performance optimization techniques
Integrating AI models into web services
• Azure Kubernetes Service (AKS)
Introduction to Kubernetes and container orchestration
Deploying and managing AI workloads on AKS
Scaling and monitoring Kubernetes clusters
• Azure Functions
Understanding serverless computing on Azure
Building and deploying AI-powered functions
Cost-optimization strategies with Azure Functions
• Azure Container Apps
Introduction to lightweight container apps
Deploying AI applications in serverless containers
Best practices for scaling and managing containerized AI applications
• Cost Management in Azure
Strategies for reducing operational costs
Utilizing Azure Cost Management tools
Planning and budgeting for AI app deployment
• Case Studies and Real-World Applications
Examining successful AI applications on Azure
Lessons learned and best practices from case studies
• Hands-on Workshops
Guided exercises for deploying AI models using Azure services
Real-time troubleshooting and performance tuning
• Course Summary and Next Steps
Recap of key learning points
Resources for further learning and development
Introduction to certification paths and advanced courses

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Fachgebiete

Programming