Detailed Course Outline
Module 1 - Generative AI on Vertex AI
- Vertex AI on Google Cloud
- Generative AI Options on Google Cloud
- Introduction to the Course Use Case (Text Generation)
Module 2- Gen AI Studio
- Introduction to GenAI Studio
- Available models and use cases
- Designing and testing prompts in the Cloud Console
- Data governance in GenAI Studio
- Lab: Getting started with Vertex AI Gen AI Studio's User Interface
Module 3 - Prompt Design
- Why is prompt design so important?
- Zero-shot vs. few-shot prompting
- Providing additional context and instruction-tuning
- Best practices
- Lab: Question Answering with Generative Models on Vertex AI
Module 4 - Implementing the PaLM API
- Lab: Getting Started with the Vertex AI PaLM API & Python SDK
- Introduction to the PaLM API
- Utilizing generative models using the Python SDK
- Understanding model parameters for text generation
- Lab: Use the PaLM API to integrate GenAI into Applications
Module 5 - Fine-tuning Models
- Scenarios to use model tuning
- Workflow for model tuning
- Preparing your model tuning dataset
- Create a model tuning job
- Loading a tuned model
- Demo: Fine-tuning models for your specific use case