Application Development with LLMs on Google Cloud
Want to understand the role that large language models (LLMs) can play when it comes to developing applications? This one-day course will show you what it takes to build an application using these game-changing learning algorithms.
Book this courseCourse Overview
1 day course
Certificate of Attendance
Private
Partner of the Year
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 live online or at a location of your choice in the UK.
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
Develop LLM-powered applications using LangChain and LLM models on Vertex AI
Build a multi-turn chat application using the PaLM API and LangChain
Use Vertex AI Studio to test prompts for large language models
Apply prompt engineering techniques to improve the output from LLMs
Course agenda
Module 1: Introduction to Generative AI on Google Cloud
- What is Generative AI?
- Vertex AI on Google Cloud
- Generative AI options on Google Cloud
- Introduction to course use case
Module 2: Vertex AI Studio
- Vertex AI Studio
- Designing and testing prompts
- Data governance in Vertex AI Studio
- Lab: Getting Started with the Vertex AI Studio User Interface
Module 3: LangChain Fundamentals
- Introduction to LangChain
- LangChain concepts and components
- Integrating the Vertex AI Gemini APIs
- Question / Answering Chain using Gemini API
- Lab: Getting Started with LangChain on Google Cloud
Module 4: Prompt Engineering
- Review of few-shot prompting
- Chain-of-thought prompting
- Retrieval augmented generation (RAG)
- ReAct (reason, act)
- Lab: Prompt Engineering Techniques
Module 5: Creating Custom Chat Applications with Vertex AI Gemini API
- LangChain for chatbots
- Memory for multi-turn chat
- Chat retrieval
- Lab: Implementing RAG Using LangChain
Who it's for
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.
Prerequisites
We recommend you first attend the Introduction to Developer Efficiency on Google Cloud course before taking this session.
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