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Course Overview
Vertex AI Model Garden provides enterprise-ready foundation models, task-specific models, and APIs. Model Garden can serve as the starting point for model discovery for various different use cases. You can kick off a variety of workflows including using models directly, tuning models in Generative AI Studio, or deploying models to a data science notebook. In this class, after being introduced to Vertex AI as a machine learning platform through the lens of Model Garden. You will learn how to leverage pre-trained models as part of your machine learning workflow and how to fine-tune models for your specific applications.
Who Should Attend
Machine learning practitioners who wish to leverage models available in Vertex AI Model Garden for various different use cases.
Course Objectives
- Understand the model options available within Vertex AI Model Garden
- Incorporate models in Vertex AI Model Garden in your machine learning workflows
- Leverage foundation models for generative AI use cases
- Fine-tune models to meet your specific needs
Course Outline
- Vertex AI for ML Workloads
- Model Garden
- Task-specific Solutions: Content Classification
- Foundation Models: Text Embeddings via PaLM
- Fine-tunable Models