AIGoogle – Generative AI – Google AI Vertex & Gen App Builder

Course code: AIGOOINTRO

This course is intended for programmers who are interested in expanding their knowledge in the field of Generative AI. The course provides a detailed overview of the use of Google’s Large Language Model (LLM) in the Vertex AI and PaLM platforms, and with its services such as chat, embedding and Imagen. Furthermore, the course focuses on the Gen App Builder service for creating LLM searches over own documents and creating chatbots/voicebots.

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Course dates

Starting date: Upon request

Type: In-person/Virtual

Course duration: 1 day

Language: en/cz

Price without VAT: 340 EUR

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Upon request In-person/Virtual 1 day en/cz 340 EUR Register
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Course description

The course also covers various methods of interacting with these services, including the REST API, Google Model Garden, and Gen App Builder. Through hands-on examples, participants will experience working with Google’s LLM, including Prompt Engineering, text generation, content classification, translation, summarization and chat. Furthermore, participants will learn to work with vectors, embed content and search for answers in their own documents. The goal of the course is to teach participants how to configure and deploy models in the Google AI environment and how to effectively integrate them into applications focused on generative AI.

Target group

This course is aimed at programmers who are interested in using large language models in the field of generative AI.

Course structure

Introduction

  • History and foundations of the LLM
  • Google AI Vertex architecture, PaLM
  • Google Gen App Builder architecture

Examples of use

  • Basic use of LLM / chatGPT
  • Prompt Engineering
  • Text creation, Conversations, Summaries, Brainstorming, Translations

Google Model Garden

REST API

Working with vectors

  • introduction
  • embedding
  • embedding of documents
  • database
  • search & embedding

Imagen – image generation

Examples of use in corporate use

  • Marketing
  • Customer support
  • Blog

Prerequisites

Basic programming experience is recommended, but the course is designed to be useful to a wide range of participants.

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