Application Development with LLMs on Google Cloud

Course 1479

  • Duration: 1 day
  • Language: English
  • Level: Intermediate

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, 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 Gemini API.

Application Development with LLMs on Google Cloud Delivery Methods

  • In-Person

  • Online

  • Upskill your whole team by bringing Private Team Training to your facility.

Application Development with LLMs on Google Cloud Course Information

This course will empower you to:

  • 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 Gemini API and LangChain

Prerequisites

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

Application Development with LLMs on Google Cloud Training Outline

Introduction to Generative AI on Google Cloud

  • Explore the different options available for using generative AI on Google Cloud.

 

Vertex AI Studio

  • Use Vertex AI Studio to test prompts for large language models.
  • Understand how Vertex AI Studio keeps your data secure

 

LangChain Fundamentals

  • Understand basic concepts and components of LangChain.
  • Develop LLM-powered applications using LangChain and LLM models on Vertex AI.

 

Prompt Engineering

  • Apply prompt engineering techniques to improve the output from LLMs.
  • Implement a RAG architecture to ground LLM models

 

Creating Custom Chat Applications with Vertex AI Gemini API

  • Understand the concept of memory for multi-turn chat applications.
  • Build a multi-turn chat application by using the Gemini API and LangChain.

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Application Development with LLMs on Google Cloud FAQs

This training focuses on teaching developers how to build, deploy, and optimize applications using Large Language Models (LLMs) on Google Cloud. It covers the fundamentals of LLMs, integration with Google Cloud services, and best practices for application development.

This training is ideal for:

  • Software developers and engineers
  • Machine learning engineers
  • Data scientists
  • Cloud architects interested in integrating LLMs into applications

Participants should have:

  • Basic understanding of machine learning concepts
  • Experience with programming languages such as Python
  • Familiarity with Google Cloud Platform (GCP) services
  • Understanding of APIs and application development is beneficial
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