GCP-TGA-GAIS

Text Generation for Applications using Gen AI Studio Training

In this course, you will explore the use of text generation 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 will learn how to design and tune prompts to ensure the best outputs for your applications and discuss how to fine-tune foundational models to improve model output quality.

Course Details

Duration

1 day

Prerequisites

  • Programming in Python
  • Leveraging APIs in applications
  • Basic familiarity with Google Cloud and Vertex AI as covered in the "Google Cloud Big Data and Machine Learning Fundamentals" course

Target Audience

Application developers leverage Generative AI in their applications and machine learning practitioners supporting the development of GenAI-powered applications.

Skills Gained

  • Understand Vertex AI generative AI options for your applications
  • Explore Gen AI Studio to interact with foundation models
  • Design and tune prompts for your Generative AI use cases
  • Implement the PaLM API into your applications using the Python SDK
  • Fine-tune foundation model weights to improve model output quality
Course Outline
  • Generative AI on Vertex AI
    • Vertex AI on Google Cloud
    • Generative AI Options on Google Cloud
    • Introduction to the Course Use Case (Text Generation)
  • 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
  • Prompt Design
    • Why is prompt design so important?
    • Zero-shot vs. few-shot prompting
    • Providing additional context and instruction-tuning
    • Best practices
  • Implementing the PaLM API
    • Introduction to the PaLM API
    • Utilising generative models using the Python SDK
    • Understanding model parameters for text generation
  • 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
Upcoming Course Dates
USD $900
Online Virtual Class
Scheduled
Date: May 30, 2024
Time: 9 AM - 5 PM ET
Partner Registration

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You'll now be redirected to https://www.exitcertified.com to complete the enrollment process.