Application Development with LLMs on Google Cloud

    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.

    Objectives

    In this course, participants will learn 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.

    Audience

    This course is intended for the following participants:

    • Application developers and others who wish to leverage LLMs in applications.

    Prerequisites

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

    Duration

    1 day

    Investment

    Check the next open public class in our enrollment page. If you are interested in a private training class for your company, contact-us.

    Course Outline

    • Explore the different options available for using generative AI on Google Cloud.
    • Use Vertex AI Studio to test prompts for large language models.
    • Understand how Vertex AI Studio keeps your data secure.
    • Understand basic concepts and components of LangChain.
    • Develop LLM-powered applications using LangChain and LLM models on Vertex AI.
    • Apply prompt engineering techniques to improve the output from LLMs.
    • Implement a RAG architecture to ground LLM models.
    •  Understand the concept of memory for mult-iturn chat applications.
    • Build a multi-turn chat application by using the PaLM API and LangChain.
    Check our schedule and enroll