About this course
Google Cloud Platform (GCP) has a broad range of powerful generative AI tools that can be used to leverage the power of modern artificial intelligence (AI). A main component of that toolbox is Google’s Vertex AI platform, which can aid organizations in streamlining machine learning (ML) workflows and deliver better machine learning models. In this course, you’ll be introduced to Vertex AI, beginning with an overview of its features, model deployment, and end-to-end workflow. Then you’ll explore pros and cons of Vertex AI, how it can be used to accelerate development, and model selection, training, and evaluation considerations. Finally, you’ll learn about Vertex AI integration, data preparation, feature engineering, model evaluation, and Vertex AI success stories.
Learning objectives
Discover the key concepts covered in this course
Outline the fundamentals of vertex ai and its role in the machine learning (ml) life cycle
Identify key features of vertex ai, including mlops, automl, custom training, and interfaces
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