Develop Search and Agents with AI Applications | GO8337 Skip to main Content

Google Develop Search and Agents with AI Applications

  • Course Code GO8337
  • Duration 1 day

Public Classroom Price

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Course Delivery

This course is available in the following formats:

  • Company Event

    Event at company

  • Public Classroom

    Traditional Classroom Learning

  • Virtual Learning

    Learning that is virtual

Request this course in a different delivery format.

Course Overview

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In this course, you learn how to use Vertex AI Search and Conversational Agents to create search engines and chat applications.

 

You will learn how to leverage Vertex AI Search for grounding your gen AI-powered applications. You will then explore how to integrate these search engines and chat applications into your own applications. Finally, you learn how to use the agents built in AI Applications in multi agent workflows

Products:

- Gemini

- AI Applications

- Vertex AI

 

Updated August 2026

Course Schedule

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    • Delivery Format: Public Classroom
    • Date: 23 May, 2027 | 9:00 AM to 5:00 PM
    • Location: Cairo-Sheraton (Egypt Stan)
    • Language: English
    Please call
    • Delivery Format: Virtual Learning
    • Date: 23 May, 2027 | 9:00 AM to 5:00 PM
    • Location: Virtual (Egypt Stan)
    • Language: English
    Please call
    • Delivery Format: Public Classroom
    • Date: 19 September, 2027 | 9:00 AM to 5:00 PM
    • Location: Cairo-Sheraton (Egypt Stan)
    • Language: English
    Please call
    • Delivery Format: Virtual Learning
    • Date: 19 September, 2027 | 9:00 AM to 5:00 PM
    • Location: Virtual (Egypt Stan)
    • Language: English
    Please call

Target Audience

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- Customers

Course Objectives

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After this course participants should be able to:

  • Explore the options in Vertex AI for generative AI.
  • Identify the role of AI Applications: Search, Recommendations, and Agents.
  • Examine use cases for Vertex AI Search and Agents.
  • Create enterprise-grade generative AI applications with AI Applications.
  • Choose the appropriate engine for a search or conversation app.
  • Import data into a data store.
  • Create and configure a custom search app.
  • Identify why grounding is important.
  • Leverage Retrieval-Augmented Generation (RAG).
  • Use grounding options on Google Cloud.
  • Test grounding using the Vertex AI Studio and SDK.
  • Create conversational agents.
  • Manage conversations with playbooks.
  • Use examples to improve a playbook’s response.
  • Leverage data store tools to perform grounding for your playbook’s responses.
  • Explore the features and benefits of the Agent Development Kit (ADK).
  • Accelerate agent development with Agent Garden.
  • Use ADK to build multi-agent applications.
  • Leverage a Data Store tool from an ADK agent.

Course Content

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Module 1: Vertex AI and AI Applications

  • Vertex AI for generative AI
  • AI Applications: Search, Recommendations, and Agents
  • Use cases for Vertex AI Search and Agents

Module 2: Vertex AI Search

  • Basic concepts: apps, engines, and data stores
  • Data sources and preparing data
  • Creating a data store
  • Configuring Vertex AI Search
  • Deploy Vertex AI Search

Module 3: Grounding Applications

  • Why is grounding important?
  • Retrieval Augmented Generation (RAG)
  • Grounding options on Google Cloud
  • Testing grounding in Vertex AI Studio
  • Grounding using the Vertex AI SDK

Module 4: Conversational Agents

  • Customer Engagement Suite (CES)
  • Deterministic vs. generative agents
  • Playbooks
  • Data store tools

Module 5: Multi-agent Applications on Vertex AI

  • Multi-agent applications and agentic AI
  • Introduction to Agent Developer Kit (ADK)
  • Vertex AI Agent Garden
  • Vertex AI Agent Engine
  • Putting it all together with AI Applications

Course Prerequisites

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Knowledge of generative AI basic concepts and programming knowledge (Python)

Test Certification

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None

Follow on Courses

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None