In this course, you will learn how to deploy and manage the NVIDIA AI Enterprise Solution in both development and production environments. You will use the NVIDIA Enterprise VMI with Docker containers in development, and Azure Kubernetes Service (AKS) in production. The training is scenario-based, focusing on a canonical Retrieval Augmented Generation (RAG) use case, and will guide participants through the entire process, from development to production deployment.

• NVIDIA AI Enterprise on Azure Overview provides an overview of NVIDIA AI Enterprise on Azure, covering deployment options (VMI vs. AKS), the development-to-production workflow, and an introduction to NVIDIA Inference Microservice LLM (NIM LLM) with key benefits and use cases. • NVIDIA AI Enterprise VMI Deployment covers the prerequisites, licensing requirements, and step-by-step process for deploying NVIDIA AI Enterprise VMI on Azure, including a hands-on lab and additional resources. • NVIDIA AI Enterprise AKS Deployment focuses on migrating to production infrastructure, covering prerequisites, creating an AKS cluster, deploying NVIDIA AI Enterprise using Helm charts, and includes a hands-on lab for setting up NVIDIA AI Enterprise on AKS. • Management and Monitoring covers monitoring tools, scaling, updating, and best practices for managing and maintaining NVIDIA AI Enterprise deployments on VMI and AKS. • Advanced Topics covers advanced topics such as using NVIDIA Terraform Modules for AKS deployment, integrating a canonical RAG workflow with Azure Machine Learning, and includes a hands-on lab on AKS Terraform deployment. • Troubleshooting and Support covers common issues and resolutions, troubleshooting methodologies for VMI and AKS deployments, and accessing NVIDIA support resources.

Upon completion, you should be able to:  • Explain the key features and benefits of deploying NVIDIA AI Enterprise on Microsoft Azure. • Identify the prerequisites for deploying NVIDIA AI Enterprise on Azure. • Demonstrate the steps to deploy NVIDIA AI Enterprise Virtual Machine Images (VMIs) on Azure. • Understand the licensing requirements and compliance for using NVIDIA AI Enterprise on Azure. • Understand the prerequisites and requirements for deploying NVIDIA AI Enterprise on AKS. • Learn how to create an AKS cluster and configure it for use with NVIDIA AI Enterprise. • Understand how to deploy NVIDIA AI Enterprise on AKS using Helm charts. • Learn how to monitor and manage the NVIDIA AI Enterprise deployment on AKS. • Understand how to scale and update the NVIDIA AI Enterprise deployment on AKS. • Leverage NVIDIA Terraform Modules to quickly deploy AKS cluster. • Develop skills for troubleshooting common issues and accessing support for NVIDIA AI Enterprise on Azure.

• Azure IT professionals • Azure Cloud administrators • Azure DevOps/MLOps engineers

To gain the most value from this course, the target audience should have knowledge of the following domains: • Working knowledge of data center infrastructure: - Servers - Storage - Networking - GPUs - Operating systems • Basic understanding of cloud computing concepts • Working knowledge of Microsoft Azure • Familiarity with containerization and Kubernetes: - Docker - Azure Kubernetes Service