Interactive Chat for Applications Using Gen AI Studio

Name: Interactive Chat for Applications Using Gen AI Studio
Price: 1000.00 SGD

Learn how to use interactive multi-turn chat models using Gen AI Studio on Vertex AI, and discover how to incorporate those models into your application.

1 day course

Supporting material

Private

A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

Generative AI is being used to develop new products and services across multiple industries, such as personalized marketing communications, chatbots for interacting with customers, and virtual assistants. It can also be used to create chatbots that can answer customer questions and provide support.

On this course, you’ll explore the use of interactive multi-turn chat models using Gen AI Studio on Vertex AI and learn how to incorporate those models into your application using the PaLM API and client libraries. You’ll learn how to design and test chat prompts to ensure the best outputs for your applications and discuss how to choose parameters for the PaLM API to improve response quality for your use case.

This Interactive Chat for Applications Using Gen AI Studio course is available as a private training session that can be delivered via Virtual Classroom or at a location of your choice in Singapore.

Course overview

Who should attend:

This course is ideal for application developers who want to leverage Generative AI in their applications, and machine learning practitioners supporting the development of GenAI-powered applications.

What you'll learn:

By the end of this course, you will be able to:

Understand Vertex AI generative AI options for your applications
Explore Gen AI Studio to interact with foundation models
Design and tune chat prompts for your Generative AI use cases
Understand the effect of changing PaLM API parameters on model responses
Implement the PaLM API into your applications using the Python SDK

Prerequisites

To get the most out of this course, you should have a basic understanding of either programming in Python or leveraging APIs in applications.

Basic familiarity with Google Cloud and Vertex AI as covered in the Google Cloud Fundamentals: Big Data and Machine Learning course is also required.

Course agenda

Module 1: Generative AI on Vertex AI

Vertex AI on Google Cloud
Generative AI options on Google Cloud
Introduction to the course use case (Interactive chat)

Module 2: Gen AI Studio

Introduction to Gen AI Studio
Available models and use cases
Designing and testing prompts in the Cloud Console
Data governance in Gen AI 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, one-shot and few-shot prompting
Providing additional context and examples
Best practices
Lab: Prompt Design for Multi-turn Chat in Gen AI Studio

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 multi-turn chat
Lab: Use the PaLM API to add a chatbot to your application

Module 5: Model Parameters & Output

Revisit model parameters for chatbots
Optimizing model parameters for different use cases
Model output and Responsible AI

Book this course

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