Application Development with LLMs on Google Cloud (GC-ADLGC)

In this course, you'll dive into the details of using Large Language Models (LLMs) in your applications. You'll start by exploring the core principles that underpin prompting LLMs. Next, you will focus on Google's latest family of models, Gemini.

You'll explore the various Gemini models and their multimodal capabilities. This includes a deep dive into effective prompt design and engineering within the Vertex AI Studio environment. Then, the course moves to application development frameworks and how to implement these concepts into your applications.


Who should attend?

Customers, Partners


Prerequisites

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


Objectives

  • 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 generative AI
  • Apply advanced prompt engineering techniques to improve the output from LLMs
  • Build a multi-turn chat application using the Gemini API and LangChain
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Detailed Course Outline

Module 01 Introduction to Generative AI on Google Cloud

Topics

  • What is generative AI
  • Vertex AI on Google Cloud
  • Generative AI options on Google Cloud
  • Introduction to course use case


Module 02 Vertex AI Studio

Topics

  • Introduction to Vertex AI Studio
  • Designing and testing prompts
  • Data governance in Vertex AI Studio

Activities

  • Lab: Getting Started with the Vertex AI Studio User Interface


Module 03 Generative AI Fundamentals

Topics

  • Introduction to grounding
  • Integrating the Vertex AI Gemini APIs
  • Chat, memory and grounding
  • Search principles

Activities

  • Lab: Getting Started with LangChain + Vertex AI Gemini API


Module 04 Prompt Engineering

Topics

  • Review of few-shot prompting
  • Chain-of-thought prompting and thinking budgets
  • Meta prompting, multi-step, and panel prompts
  • RAG and ReAct

Activities

  • Lab: Advanced Prompt Architectures


Module 05 Creating Custom Chat Applications with Vertex AI Gemini API

Topics

  • LangChain for chatbots
  • ADK for chatbots
  • Chat retrieval

Activities

  • Lab: Implementing RAG Using LangChain
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