Text Generation for Applications using Gen AI Studio (TGAGAS) – Outline

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