Google Cloud
Vertex AI Model Garden
Choose and use the right model from Vertex AI Model Garden.
1 dayIntermediate1 modules
About this course
Choose and use the right model from Vertex AI Model Garden. You will explore the model options it offers, apply foundation models to generative AI use cases, use task-specific solutions such as content classification, fine-tune models to your needs and integrate them into your machine learning workflows.
What you'll learn
- 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
Curriculum
1 modules
- Vertex AI for ML Workloads
- Model Garden
- Task-specific Solutions: Content Classification
- Foundation Models: Text Embeddings via PaLM
- Fine-tunable Models
Who it's for
Developers and data scientists building with Google's model catalogue.
Before you start
- Prior completion “Machine Learning on Google Cloud” course or the equivalent knowledge of TensorFlow/Keras and machine learning.
- Experience scripting in Python and working in Jupyter notebooks to create machine learning models.
Related courses
More in Google Cloud →Intermediate
Agent Operations on Google Cloud
Google Cloud
View course →Intermediate
Agentic Infrastructure for the Autonomous Enterprise on Google Cloud
Google Cloud
View course →Foundation
AI Agent Essentials on Google Cloud
Google Cloud
View course →Foundation
AI Fundamentals with Prompt-a-Thon - Google Gemini & Google Workspace Edition
Google Cloud
View course →Advanced
Architecting Hybrid Cloud Infrastructure with Anthos
Google Cloud
View course →Advanced
Architecting with Google Cloud: Design and Process
Google Cloud
View course →Let's plan your next step together.
Tell us the course or certification you have in mind and we'll send the outline, upcoming dates, fees and private-team options.