[Coming Dec 13] Deploy Secure ML Workloads on AKS Clusters
Learn how to build secure Kubeflow pipelines with a turnkey reference module.
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Build secure, scalable, and accelerated Kubeflow pipelines on an Azure Kubernetes Service (AKS) cluster using an Intel-optimized, cloud-native, open source reference module: Kubeflow Pipeline with XGBoost on Azure
You’ll learn how to:
- Configure Azure Cloud Services such as a resource group, container registry, and AKS cluster with a confidential computing node pool
- Install the Kubeflow software layer on an AKS cluster using a secure transport layer security (TLS) protocol
- Implement a full, end-to-end ML pipeline using an XGBoost model plus Intel AI software optimizations to predict credit risk—from data preprocessing to model inference
- Leverage the security of confidential computing nodes on an AKS cluster using Intel® SGX, and use Intel® Turbo Boost Max Technology to reach 3.5 GHz for AI acceleration
Skill level: Intermediate
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