Vertex AI Model Garden (VAMG) – Outline

Detailed Course Outline

Module 1 - Vertex AI for ML Workloads

• Vertex AI on Google Cloud
• Options for training, tuning and deploying ML models on Vertex AI
• Generative AI options on Google Cloud and Vertex AI

Module 2 - Model Garden

• Introduction to Model Garden
• Model types in Model Garden
• Connecting models from Gen AI Studio and Model Registry
• Introduction to course use cases

Module 3 - Task-specific Solutions: Content Classification

• Pre-trained models for specific tasks
• VertexAI AutoML
• Using a pre-trained model via the Python SDK
• Lab: Content Classification via Natural Language API and AutoML

Module 4 - Foundation Models: Text Embeddings via PaLM

• Introduction to foundation models
• PaLM API
• GenAI Studio
• Using the Embeddings API
• Lab: Use the PaLM API to Cluster Products Based on Descriptions

Module 5 - Fine-tunable Models

• Fine-tunable models in Model Garden
• Vertex AI Pipelines
• Demo: Fine-tuning models for your specific use case