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Develop Search and Agents with AI Applications

Course 1483 Advantage Plan Course

  • Duration: 1 day
  • Language: English
  • Level: Intermediate

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.

Develop Search and Agents with AI Applications Course Delivery Methods

  • In-Person

  • Online

  • Upskill your whole team by bringing Private Team Training to your facility.

Develop Search and Agents with AI Applications Course Information

  • This course will empower you to:

    • Explore Vertex AI as a platform for enterprise-ready generative AI.
    • Create and deploy a search engine using Vertex AI Search.
    • Ground outputs from foundation models using Vertex AI Search.
    • Create a chat application using natural language in Conversational Agents.
    • Integrate your agents into multi-agent workflows using Agent Development Kit and Vertex AI Agent Builder.

  • Prerequisites

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

Develop Search and Agents with AI Applications Course Outline

Module 1: Vertex AI and AI Applications

  • 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

Module 2: Vertex AI Search

  • 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.

Module 3: Grounding Applications

  • 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.

Module 4: Conversational Agents

  • 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.

Module 5: Multi-agent Applications on Vertex AI

  • 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.
Select Commercial or Government Pricing

$895

  • 1-Day Instructor-Led Training

  • Hands-On Labs

  • After-Course Instructor-Coaching

Would you like to take this course as a team?
  • Aug 6 9:00 AM - 4:30 PM EDT
    Virtual
  • Nov 13 9:00 AM - 4:30 PM EST
    Virtual
  • Feb 3 9:00 AM - 4:30 PM EST
    Virtual
  • Apr 27 9:00 AM - 4:30 PM EDT
    Virtual

$620

  • 1-Day Instructor-Led Training

  • Hands-On Labs

  • After-Course Instructor-Coaching

Would you like to take this course as a team?
  • Aug 6 9:00 AM - 4:30 PM EDT
    Virtual
  • Nov 13 9:00 AM - 4:30 PM EST
    Virtual
  • Feb 3 9:00 AM - 4:30 PM EST
    Virtual
  • Apr 27 9:00 AM - 4:30 PM EDT
    Virtual
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Course FAQs

Gemini,  AI Applications and Vertex AI

  • Integrating Vertex AI Search Into Your Application
  • rounding LLMs with Vertex AI Search
  • Create a Conversational Agent Playbook that connects to an unstructured data store tool
  • Using ADK and multiple agents with AI Applications

Unlike rule-based chatbots, Vertex AI Agent Builder leverages LLMs, natural language understanding (NLU), and machine learning to improve conversational interactions dynamically.

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