Google Develop Search and Agents with AI Applications
- Code training GO8337
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Deze training is in de volgende formats beschikbaar:
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Klassikale training
Klassikaal leren
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Op locatie klant
Op locatie klant
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Virtueel leren
Virtueel leren
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Trainingsbeschrijving
Naar bovenIn 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
Virtueel en Klassikaal™
Virtueel en Klassikaal™ is een eenvoudig leerconcept en biedt een flexibele oplossing voor het volgen van een klassikale training. Met Virtueel en Klassikaal™ kunt u zelf beslissen of u een klassikale training virtueel (vanuit huis of kantoor )of fysiek op locatie wilt volgen. De keuze is aan u! Cursisten die virtueel deelnemen aan de training ontvangen voor aanvang van de training alle benodigde informatie om de training te kunnen volgen.
Data
Naar bovenDoelgroep
Naar boven- Customers
Trainingsdoelstellingen
Naar bovenAfter 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.
Inhoud training
Naar bovenModule 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
Voorkennis
Naar bovenKnowledge of generative AI basic concepts and programming knowledge (Python)
Examen
Naar bovenNone
Vervolgtrainingen
Naar bovenNone
