1. Azure AI Foundry: Enhanced AI Model Integration
What it is:
Azure AI Foundry is a platform for seamless integration of AI models across Azure services, focusing on scalability and performance enhancements.
Why now:
The recent update enhances deploying custom models on Azure Kubernetes Service (AKS) and Azure Container Apps, catering to the rising demand for scalable AI solutions.
Tutorial angle:
Learn how to deploy a custom AI model on Azure Kubernetes Service (AKS) using the new Azure AI Foundry features.
Difficulty:
Intermediate
Start today:
Run the following command to install the Azure CLI (if not already installed) and log in:
curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash
az login
2. .NET Aspire 1.2: AI-Driven Performance Optimizations
What it is:
.NET Aspire 1.2 is a microservices framework that leverages AI to automatically detect and resolve performance bottlenecks.
Why now:
The AI capabilities in version 1.2 address the need for efficient microservices in modern applications by optimizing performance proactively.
Tutorial angle:
Discover how to use AI-driven tools in .NET Aspire 1.2 to optimize your microservices performance.
Difficulty:
Intermediate
Start today:
Visit the .NET Aspire documentation to get started with the latest AI features.
3. Bicep 2.5: Improved IaC Support
What it is:
Bicep 2.5 is an infrastructure-as-code (IaC) tool for deploying Azure resources with enhanced ARM template support and a new CLI.
Why now:
The update offers better IaC capabilities and a more user-friendly CLI, aligning with the growing adoption of IaC in cloud infrastructure management.
Tutorial angle:
Deploy Azure resources using Bicep 2.5's new CLI and ARM template enhancements.
Difficulty:
Intermediate
Start today:
Install Bicep 2.5 using the following command:
az bicep upgrade
4. Azure Container Apps: Native AI Integration for Monitoring
What it is:
Azure Container Apps is a platform for deploying containerized applications with native AI-driven monitoring and analytics.
Why now:
The introduction of native AI integration for monitoring provides real-time insights and proactive issue detection in containerized applications.
Tutorial angle:
Set up and use AI-driven monitoring in Azure Container Apps.
Difficulty:
Intermediate
Start today:
Navigate to the Azure Container Apps documentation to explore AI monitoring features.
5. Power Platform: Enhanced AI Builder Features
What it is:
Power Platform AI Builder is a tool for creating AI-driven applications with enhanced features like AutoML and improved Azure AI integration.
Why now:
The enhanced AI Builder features allow developers to create sophisticated AI applications with less code, leveraging the trend of low-code AI solutions.
Tutorial angle:
Build an AI-driven application using the new AI Builder features in Power Platform.
Difficulty:
Beginner
Start today:
Access the Power Platform AI Builder and start a new AI project.
Building in public: my lead-gen engine
My automated lead-generation engine has been busy identifying and reaching out to potential leads in the Azure ecosystem. Here are some insights:
- Pipeline Totals: Discovered 1704 leads, enriched 77, and contacted 132.
- News Hooks: Recent typhoons (Narra, Saudel, Lala) highlight the importance of business continuity planning.
Key Takeaways:
- Regional Events Matter: Leveraging local events can create timely content and engagement.
- Continuous Engagement: Regular outreach is crucial for maintaining a healthy pipeline.
Start with this today
Deploy your first AI model on Azure AKS with Azure AI Foundry:
Run the following command to install the Azure CLI and log in:
curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash
az login
Picks of the week:
- Tool: Azure AI Foundry
- Article: Deploy Your Custom AI Model on Azure AKS with Azure AI Foundry's New Features
- Question for readers: How are you leveraging AI tools in your development workflows? Share your experiences in the comments!
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