Intro to Generative AI training with GCP is designed anyone interested in Generative AI and GCP including Data scientists, developers, business analysts, AI enthusiasts who want to get started using Generative AI tools provided on Google Cloud Platform

Basic knowledge of GCP and Python

Topic Outline:

1. Understanding the basics of generative AI and its applications

• Core concepts of Generative AI
• AI vs ML vs Generative AI
• Generative AI – self supervised learning
• Lab Demo: Exploring GCP ecosystem and AI services highlighting their relevance to generative AI

2. Generative AI on GCP

• Explore Generative AI foundation models
• Exploring Text features: Summarization, Classification
• Exploring Text features: Extraction, Ideation
• Lab: Using Generative AI Studio

3. Prompt Design

• Getting started with prompt design
• Using zero shot, one shot and few shot prompts
• Exploring prompt frameworks such as RTF, CTF, RASCEF
• Understanding parameters
• Lab: Using Generative AI with Vertex AI workbench

4. Implement the PaLM API for text generation

• Explore PaLM API and its capabilities
• Using Vertex AI PaLM API for Text
• Exploring Chat model
• Exploring Code model
• Exploring Speech model
• Demo: Using PaLM API with Vertex AI

5. Working with Embeddings

• What are embeddings?
• Using embeddings for text similarity
• Basics of LangChain
• Tuning Large Language Models
• Labs: Embedding Similarity

Training material provided: Yes (Digital format)

Hands-on Lab: Students should create a “Qwiklabs” Account using the following link: https://www.cloudskillsboost.google/, instructions will be sent out prior to the class.