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T-ADLLM-IOfficial Google Curriculum

Application Development with LLMs on Google Cloud

1 dayInstructor-ledIntermediateLoading...

Overview

Dive into the details of using Large Language Models (LLMs) in your applications. Explore core principles of prompting LLMs, focus on Gemini models and their multimodal capabilities, and learn application development frameworks.

What You'll Learn

  • 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

Who Should Attend

Customers, Partners

Prerequisites

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

Products Covered

Vertex AIVertex AI StudioVertex AI Workbench

Course Modules

1

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
2

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
3

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
4

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
5

Creating Custom Chat Applications with Vertex AI Gemini API

Topics

  • LangChain for chatbots
  • ADK for chatbots
  • Chat retrieval

Activities

Lab: Implementing RAG Using LangChain

What's Not Covered

  • Deep dive on topics around developing agents using Agent Development Kit and deployment of agents on Google Cloud using solutions such as Agent Engine

Get This Training

No public classes currently scheduled. Express interest below or request private training.

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Course Details

Course Code
T-ADLLM-I
Duration
1 day
Format
Instructor-led
Level
Intermediate
Hands-on Labs
4
Modules
5
Activities
4
Price
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