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