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.

Prices & Delivery methods

Online Training

Duration
1 day

Price
  • on request
Classroom Training

Duration
1 day

Price
  • on request

Click on town name or "Online Training" to book Schedule

Europe

Germany

Hamburg
Munich
Frankfurt

Italy

Online Training Time zone: Central European Time (CET) Course language: Italian
Online Training Time zone: Central European Summer Time (CEST) Course language: Italian
Online Training Time zone: Central European Summer Time (CEST) Course language: Italian
Online Training Time zone: Central European Summer Time (CEST) Course language: Italian

Slovenia

Online Training Time zone: Central European Time (CET) Course language: English
Online Training Time zone: Central European Summer Time (CEST) Course language: English
Online Training Time zone: Central European Time (CET) Course language: English
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom.