Application Development with LLMs on Google Cloud (ADLGC)

 

Course Overview

In this course, you explore tools and APIs available on Google Cloud for integrating large language models (LLMs) into your application. After exploring generative AI options on Google Cloud, next you explore LLMs and prompt design in Vertex AI Studio. Then you learn about LangChain, an open-source framework for developing applications powered by language models. After a discussion around more advanced prompt engineering techniques, you put it all together to build a multi-turn chat application by using LangChain and the Vertex AI PaLM API.

Who should attend

Application developers and others who wish to leverage LLMs in applications.

Prerequisites

Course Objectives

  • Explore the different options available for using generative AI on Google Cloud.
  • Use Vertex AI Studio to test prompts for large language models.
  • Develop LLM-powered applications using LangChain and LLM models on Vertex AI.
  • Apply prompt engineering techniques to improve the output from LLMs.
  • Build a multi-turn chat application using the PaLM API and LangChain.

Prezzo & Delivery methods

Online Training

Durata
1 Giorno

Prezzo
  • 650,– €
Formazione in Aula

Durata
1 Giorno

Prezzo
  • Italia: 650,– €

Schedulazione

Italiano

Fuso orario: Central European Summer Time (CEST)   ±1 Ora

Online Training Questo è un corso FLEX. Fuso orario: Central European Summer Time (CEST)
Online Training Questo è un corso FLEX. Fuso orario: Central European Time (CET)

Inglese

Fuso orario: Central European Summer Time (CEST)   ±1 Ora

Online Training Fuso orario: Central European Summer Time (CEST)
Online Training Fuso orario: Central European Summer Time (CEST)
Online Training Fuso orario: Central European Time (CET)
Online Training Fuso orario: Central European Time (CET)
Instructor-led Online Training:   Questo è un corso Online
Questo è un corso FLEX, erogato sia in aula che in remoto, contemporaneamente.

Italia

Virtual
Virtual
Questo è un corso FLEX, erogato sia in aula che in remoto, contemporaneamente.