1 day course

Partner of the Year

Private

A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

On this one-day course, you’ll explore the different tools and APIs on Google Cloud that you can use to integrate large language models (LLMs) into your application.

After taking a look at the generative AI options on Google Cloud, we’ll then explore LLMs and prompt design in Vertex AI Studio. Next, you’ll learn about LangChain, an open-source framework for developing applications powered by language models.

After a discussion around more advanced prompt engineering techniques, you’ll end the session by putting all your knowledge together to build a multi-turn chat application using LangChain and the Vertex AI PaLM API.

This Application Development with LLMs on Google Cloud course is available as a private session and can be delivered via Virtual Classroom or at a location of your choice in South Africa.

Course overview

Who should attend:

This course is ideal for anyone who wants to understand the different options available for using generative AI on Google Cloud, and how LLMs can help when it comes to developing applications.

What you'll learn:

By the end of this course, you will be able to:

Understand 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

Prerequisites

We recommend you first attend the Introduction to Developer Efficiency on Google Cloud course before taking this session.

Course agenda

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

Module 3: LangChain Fundamentals

Introduction to LangChain
LangChain concepts and components
Integrating the Vertex AI PaLM APIs
Question / Answering Chain using PaLM API

Module 4: Prompt Engineering

Review of few-shot prompting
Chain-of-thought prompting
Retrieval augmented generation (RAG)
ReAct

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

LangChain for chatbots
Memory for multi-turn chat
Chat retrieval