In this mini course you will be introduced to Vertex AI, and will explore the three key phases of the machine learning workflow in Vertex AI—data preparation, model training, and model deployment - and how different products in Vertex AI can support you during each phase. At the end of the course, you will be able to practice building a machine learning model with AutoML in a live lab environment.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

In this mini course you will be introduced to Vertex AI, and will explore the three key phases of the machine learning workflow in Vertex AI—data preparation, model training, and model deployment - and how different products in Vertex AI can support you during each phase. At the end of the course, you will be able to practice building a machine learning model with AutoML in a live lab environment.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Gemini is a family of generative AI models developed by Google DeepMind that is designed for multimodal use cases. The Gemini API gives you access to the Gemini Pro Vision and Gemini Pro models. In this spotlight lab, you will learn how to use the Vertex AI Gemini API with the Vertex AI SDK for Python to interact with the Gemini Pro (gemini-pro) model and the Gemini Pro Vision (gemini-pro-vision) model.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

In this mini course you will be introduced to Vertex AI, and will explore the three key phases of the machine learning workflow in Vertex AI—data preparation, model training, and model deployment - and how different products in Vertex AI can support you during each phase. At the end of the course, you will be able to practice building a machine learning model with AutoML in a live lab environment.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

In this mini course you will be introduced to Vertex AI, and will explore the three key phases of the machine learning workflow in Vertex AI—data preparation, model training, and model deployment - and how different products in Vertex AI can support you during each phase. At the end of the course, you will be able to practice building a machine learning model with AutoML in a live lab environment.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.