Training and Deploying Custom Reasoning Models with Azure ML and Foundry - Microsoft Ignite 2025
See the magic happen in real time. Learn how to train and deploy custom reasoning models with Azure ML and Microsoft Foundry—from fine-tuning to reinforcement learning, performance optimization with speculative decoding, distillation, and production deployment delivering measurable ROI.
Fine-Tuning in Microsoft Foundry: Building Production-Ready AI Agents - Microsoft Ignite 2025
Microsoft Ignite BRK188: Fine-tuning in Microsoft Foundry transforms generic models into production-ready agents. Synthetic data generation, supervised + reinforcement fine-tuning, 40-90% cost reduction, 95%+ accuracy. Real-world results: 2M docs/day, $27M savings.
Running Open-Source AI Models at Scale: Azure Container Apps, AKS, and On-Premise Deployments - Microsoft Ignite 2025
Microsoft Ignite BRK117: Deploy open-source AI models (Llama 3.3, Mistral) with Azure Container Apps serverless GPUs, AKS with Kaido workflows, and on-premise infrastructure. Cost reduction 60-85%, data sovereignty, and hybrid architectures with Azure Arc.