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Deploying AI with Azure Foundry Local

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Deploying AI with Azure Foundry Local

AFL-101

Master local AI deployment with Azure Foundry Local. Build, optimize, and integrate AI models on your hardware—then scale to cloud when ready. Hands-on labs included.

Target Audience: AI Engineers, DevOps Engineers
Duration: 2.0000 Days
Job Role: Azure Cloud Computing
Skill Level: Intermediate
12000.00 USD
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🚀 Transform Your AI Development with Local-First Deployment

Take control of your AI infrastructure with Deploying AI with Azure Foundry Local—the comprehensive training course that teaches you to run, optimize, and integrate AI models directly on your local hardware before scaling to the cloud. Perfect for developers, data scientists, and IT professionals ready to harness the power of privacy-first, cost-effective AI deployment.

💡 What Makes This Course Essential

  • Hands-On Learning: 14+ hours of practical labs across 6 modules—install, configure, and deploy from day one
  • Full-Stack Integration: Master Python & JavaScript SDKs, REST APIs, and VS Code AI Toolkit workflows
  • Hardware Optimization: Unlock maximum performance using ONNX Runtime across CPU, GPU, and NPU
  • Production-Ready Skills: Learn troubleshooting, best practices, and cloud migration strategies
  • OpenAI-Compatible: Seamlessly integrate with existing applications using familiar API patterns

🎯 Who Should Enroll

Ideal for developers building AI-powered applications, DevOps engineers managing AI infrastructure, and technical teams exploring cost-effective alternatives to cloud-only AI solutions. No prior Azure Foundry experience required—just basic programming knowledge and enthusiasm for cutting-edge AI technology.

✅ Your Learning Outcomes

By course completion, you'll confidently deploy local AI models, integrate inference into production apps, optimize performance across hardware configurations, and architect scalable solutions that transition smoothly from prototype to enterprise deployment.

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