Course Overview of Develop Search and Agents with AI Applications

As organizations increasingly adopt generative AI, the need for reliable, scalable, and context-aware AI applications has become critical. Modern AI systems must go beyond standalone models and incorporate search, grounding, and agent-based workflows.

This instructor-led workshop provides a structured, hands-on exploration of Vertex AI Search and Conversational Agents. Participants will learn how to build intelligent search engines, ground large language model outputs using Retrieval-Augmented Generation (RAG), design conversational agents using natural language interfaces, and integrate these components into multi-agent systems using the Agent Development Kit (ADK) and Vertex AI Agent Builder.

After completing Develop Search and Agents with AI Applications, participants will be able to:

  • Design and deploy intelligent search applications using Vertex AI Search
  • Ground foundation model responses using Retrieval-Augmented Generation (RAG)
  • Build conversational agents using natural language interactions
  • Integrate search and conversational capabilities into applications
  • Develop multi-agent workflows using ADK and Agent Builder

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Key Features of Develop Search and Agents with AI Applications:

  • Hands-on creation of search and conversational AI systems

  • Practical grounding techniques using Vertex AI Search (RAG)

  • Design of conversational agents using playbooks

  • Integration of enterprise data into AI workflows

  • Multi-agent system development using ADK

  • Instructor-led format with real-time guidance

Who should Attend Develop Search and Agents with AI Applications?

  • Developers building AI-powered applications
  • Solution architects designing intelligent systems
  • Data & ML practitioners working with generative AI
  • Teams implementing enterprise search and conversational AI

Prerequisites of Develop Search and Agents with AI Applications:

Participants should have:
  • Basic understanding of generative AI concepts
  • Familiarity with Python or general programming concepts
  • Why choose CloudThat as your training partner?

    • Expert-led instruction with practical implementation focus
    • Real-world labs and enterprise use cases
    • Deep coverage of grounding (RAG) techniques
    • Multi-agent system design using ADK
    • Emphasis on scalable, production-ready AI patterns
    • Mentorship, Q&A, and implementation guidance
    • Trusted by enterprise teams globally

    Course Outline of Develop Search and Agents with AI Applications: Download Course Outline

    • Overview of Vertex AI for Generative AI
    • AI Applications: Search, Recommendations, and Agents
    • Identifying real-world use cases

    • Core concepts: apps, engines, and data stores
    • Data preparation and ingestion
    • Creating and configuring search applications
    • Deploying Vertex AI Search

    • Why grounding is essential
    • Retrieval-Augmented Generation (RAG)
    • Grounding options on Google Cloud
    • Testing grounding using Vertex AI Studio & SDK

    • Introduction to Conversational Agents
    • Deterministic vs. Generative Agents
    • Playbooks and conversation management
    • Data Store tools for grounded responses

    • Multi-agent architectures and agentic AI
    • Introduction to Agent Development Kit (ADK)
    • Vertex AI Agent Garden & Agent Engine
    • Building integrated AI workflows

    • Integrating Vertex AI Search into Applications
    • Grounding LLMs using Vertex AI Search
    • Creating Conversational Agent Playbooks
    • Building Multi-Agent Systems using ADK

    Certification Details of Develop Search and Agents with AI Applications:

      Participants who complete the workshop will receive a: Certificate of Completion

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    Course ID: 27203

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    FAQs

    One day (intensive instructor-led format)

    Vertex AI, Vertex AI Search, Conversational Agents, and ADK

    Basic generative AI understanding and familiarity with Python

    Yes — including Retrieval-Augmented Generation (RAG)

    Yes — upon completion of the workshop

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