Gedetailleerde cursusinhoud
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