Application Development with LLMs on Google Cloud

Length 1 day

Course overview

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Why study this course

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.

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What you’ll learn

This course teaches participants the following skills:

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

Google Cloud at Lumify Work

Lumify Work is Australia's only national Google Cloud Authorised Training Partner. Get the skills needed to build, test, and deploy applications on this highly scalable infrastructure. Engineered to handle the most data-intensive work you can throw at it, Lumify Work can support you through training wherever you are in your Cloud adoption journey.

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Who is the course for?

Application developers and others who wish to leverage LLMs in applications

Course subjects

Module 1: Introduction to Generative AI on Google Cloud

Vertex AI on Google Cloud
Generative AI options on Google Cloud
Introduction to course use case

Module 2: Vertex AI Studio

Introduction to Vertex AI Studio
Available models and use cases
Designing and testing prompts in the Google Cloud console
Data governance in Vertex AI Studio
Lab: Exploring Vertex AI Studio

Module 3: LangChain Fundamentals

Introduction to LangChain
LangChain concepts and components
Integrating the Vertex AI PaLM APIs
Question/Answering Chain using PaLM API
Lab: Getting Started with LangChain + Vertex AI PaLM API

Module 4: Prompt Engineering

Review of few-shot prompting
Chain-of-thought prompting
Retrieval augmented generation (RAG)
ReAct
Lab: Prompt Engineering Techniques

Module 5: Creating Custom Chat Applications with Vertex AI PaLM API

LangChain for chatbots
Memory for multi-turn chat
Chat retrieval
Lab: Implementing RAG Using LangChain

Prerequisites

To get the most out of this course, participants should have:

Completion of Introduction to Developer Efficiency on Google Cloud or equivalent knowledge.

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.