Azure Machine Learning Workspace Setup with CLI and Portal

Are you looking to establish a robust cloud environment for your machine learning projects? Setting up a dedicated workspace is the crucial first step. This course guides you through creating and managing your Azure Machine Learning workspace, giving you the foundational skills to host and scale your ML endeavors. Upon completion, you will confidently configure and administer your Azure Machine Learning workspaces, leveraging both programmatic and graphical interfaces. You will be equipped to prepare a secure and organized environment for developing, training, and deploying machine learning models. What you'll learn: * Understand the fundamental concepts of Azure Machine Learning workspaces. * Configure essential Azure resources required for an ML environment. * Create and manage workspaces efficiently using the Azure Command-Line Interface (CLI). * Navigate and administer your ML workspace through the intuitive Azure portal. * Implement basic access control and security best practices using Azure Identity. * Prepare your workspace for tracking experiments and managing foundational machine learning models. This course begins with core terminology and architectural concepts before moving into practical, step-by-step instructions for setting up your workspace using both the Azure CLI and the Azure portal. You will learn to manage resources and configure key settings for a secure and functional ML environment. This course is for absolute beginners with no prior experience in Azure Machine Learning or cloud-based ML platforms. No prerequisites are required. Start building your cloud machine learning skills today.