Google Develop Search and Agents with AI Applications
- Course Code GO8337
- Duration 1 day
Course Delivery
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Course Delivery
This course is available in the following formats:
-
Company Event
Event at company
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Public Classroom
Traditional Classroom Learning
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Virtual Learning
Learning that is virtual
Request this course in a different delivery format.
Course Overview
TopIn 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
TopTarget Audience
Top- Customers
Course Objectives
TopAfter 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
TopModule 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
TopKnowledge of generative AI basic concepts and programming knowledge (Python)
Test Certification
TopNone
Follow on Courses
TopNone