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The document provides an overview of Vertex AI, Google Cloud's managed machine learning platform. It discusses topics such as managing datasets, building and training machine learning models using both automated and custom approaches, implementing explainable AI, and deploying models. The document also includes references to the Vertex AI documentation and contact information for further information.












Overview of Vertex AI, a managed ML platform for accelerating AI model deployment and experimentation.
Discussion of datasets management, including types of tasks like classification, detection, and analysis.
Focus on building and training ML models using Auto ML and Custom methods based on use case requirements.
Exploration of explainable AI techniques within the Vertex AI platform.
Overview of deployment strategies and options available in Vertex AI.
Presentation of examples of Vertex AI usage and references for further information, along with acknowledgments.