Vertex AI Notebooks for Beginners

Setting up a reliable and powerful environment for data science and machine learning can be a major bottleneck. Vertex AI Notebooks solve this by providing managed Jupyter instances in the cloud, fully integrated with scalable infrastructure. This text-based course guides you through the process of creating, configuring, and managing these cloud-hosted notebook environments, enabling you to run heavy data workloads without local hardware limitations. What you'll learn: Understand the foundational architecture of managed Jupyter instances in Vertex AI; Configure custom hardware resources, including cloud-based GPUs, to scale your workloads; Implement basic MLOps workflows by connecting notebooks to cloud storage and version control; Manage package dependencies and virtual environments securely within cloud instances; Apply security best practices and access controls to protect your data resources. The course starts with essential cloud terminology and basic setup before moving into hands-on configuration, resource scaling, and collaborative workflows. This program is designed for aspiring data scientists, machine learning enthusiasts, and developers who are new to cloud environments, with no prior cloud administration experience required. Start reading today to transition your data science workflows to the cloud.