Modernizing Applications with .NET AI and Cloud-Native Practices - Session 149

Overview

Master cloud-native development using AI services, .NET Aspire framework, and Azure to build resilient, scalable applications with enhanced observability and simplified deployment.

Syllabus

• Introduction to Cloud-Native Development
Overview of cloud-native concepts
Benefits of modernizing applications
• Introduction to .NET Aspire Framework
Fundamentals of the .NET Aspire framework
Setting up the development environment
Key features for scalability and resilience
• Integrating AI Services with .NET
Overview of AI services in Azure
Implementing machine learning models in .NET applications
Leveraging cognitive services for enhanced application intelligence
• Building Scalable Applications
Designing for scalability and resilience
Using microservices architecture with .NET
Implementing distributed computing patterns
• Enhanced Observability Practices
Introduction to observability and its importance
Implementing logging, monitoring, and tracing
Tools and frameworks for observability in Azure
• Simplifying Deployment with Azure
Overview of Azure deployment models
Best practices for continuous integration and delivery (CI/CD)
Utilizing Azure DevOps for streamlined deployments
• Case Studies and Real-World Applications
Analysis of industry case studies
Lessons learned from applying .NET, AI, and cloud-native practices in real scenarios
• Hands-on Project
Development of a sample cloud-native application using .NET and Azure AI services
Guided steps from conception to deployment
• Conclusion and Next Steps
Recap of learning outcomes
Resources for continued learning and exploration of advanced topics

Subjects

Programming