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Application Development with LLMs on Google Cloud
Course 1479
1 DAY COURSE

Price:
Course Outline

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 Benefits

  • 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

Learning Objectives

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.
Course Dates
Attendance Method

How will you be attending the class?

Selecting 'Live Virtual' allows you to attend remotely from work or home. You will receive email communication well before the class starts with detailed instructions on how to validate your equipment and connect to the classroom for a quality learning experience.

Additional Details (optional)

Private Team Training

Interested in this course for your team? Please complete and submit the form below and we will contact you to discuss your needs and budget.