Course Overview of Develop Search and Agents with AI Applications

This instructor-led course introduces learners to Google Cloud AI Applications with a focus on building intelligent search experiences, grounded Generative AI applications, conversational agents, and multi-agent workflows using Vertex AI. 

Participants will explore how to leverage Vertex AI Search for enterprise search and grounding capabilities, build conversational AI experiences using Conversational Agents, and develop advanced multi-agent applications using Agent Development Kit (ADK) and Vertex AI Agent Builder. The course also covers Retrieval-Augmented Generation (RAG), grounding techniques, data store integrations, and agent orchestration patterns for enterprise AI solutions. 

Through hands-on labs and guided implementation exercises, learners will gain practical experience integrating search engines and conversational agents into applications using Google Cloud’s AI ecosystem. 

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

  • Understand Vertex AI as a platform for enterprise Generative AI
  • Create and deploy search engines using Vertex AI Search
  • Configure and manage data stores for AI-powered applications
  • Ground foundation model responses using Vertex AI Search
  • Implement Retrieval-Augmented Generation (RAG) workflows
  • Build conversational agents using Conversational Agents
  • Create and manage conversational playbooks
  • Integrate data store tools for grounded AI responses
  • Develop multi-agent workflows using Agent Development Kit (ADK)
  • Leverage Vertex AI Agent Builder and Agent Garden for intelligent agent development
  • Integrate AI-powered search and conversational experiences into enterprise applications

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Key Features of Develop Search and Agents with AI Applications:

  • Enterprise AI Search Development

    • Build enterprise-grade search applications using Vertex AI Search
    • Configure search engines and data stores
    • Implement AI-powered information retrieval workflows
    • Enterprise search and recommendation use cases 

  •  Hands-On Learning Experience

    • Multiple hands-on labs and guided implementation exercises
    • Real-world AI search and conversational application scenarios
    • Interactive agent development activities
    • Practical enterprise AI implementation workflows 

  •  Grounding and RAG Implementation

    • Retrieval-Augmented Generation (RAG) concepts
    • Grounding foundation model responses using Vertex AI Search
    • AI hallucination reduction strategies
    • Grounding workflows using SDK and Vertex AI Studio 

  •  Conversational Agent Development

    • Building conversational AI applications
    • Deterministic vs Generative AI agents
    • Playbook creation and management
    • Data store integration for grounded conversations 

  • Multi-Agent Application Development 

    • Multi-agent architectures and agentic AI concepts
    • Agent Development Kit (ADK) implementation
    • Vertex AI Agent Garden integration
    • Agent orchestration and workflow automation 

  • Google Cloud AI Ecosystem Exposure 

    • Vertex AI
    • Vertex AI Search
    • Conversational Agents
    • Vertex AI Agent Builder
    • Vertex AI Studio
    • Agent Development Kit (ADK)
    • Vertex AI Agent Garden
    • Vertex AI Agent Engine 

  •  Enterprise AI Application Integration 

    • Integrating AI search into enterprise applications
    • Connecting conversational agents with data stores
    • AI application deployment workflows
    • Intelligent customer engagement scenarios 

  • Modern Agentic AI Best Practices 

    •  Grounded AI application development
    • Multi-agent orchestration patterns
    • Agent lifecycle and workflow management
    • Enterprise AI governance and scalability concepts 

Who should Attend Develop Search and Agents with AI Applications?

  • AI Developers
  • Generative AI Engineers
  • Application Developers
  • Conversational AI Developers
  • Machine Learning Engineers
  • Cloud Engineers
  • Software Developers
  • Solution Architects
  • Professionals building AI-powered enterprise applications

Prerequisites of Develop Search and Agents with AI Applications:

Participants should have
  • Knowledge of Generative AI basic concepts
  • Basic programming knowledge in Python
  • Familiarity with APIs and application development concepts
  • Understanding of cloud fundamentals is recommended
  • Interest in AI-powered search and conversational systems

    • Why choose CloudThat as your training partner?

    • Specialized Google Cloud AI Expertise - CloudThat specializes in cloud and AI technologies, delivering industry-focused Google Cloud AI training programs with practical implementation experience and enterprise use cases. 
    • Industry-Recognized Trainers - Our trainers are certified Google Cloud professionals with expertise in Vertex AI, Generative AI, AI Agents, conversational AI, and enterprise AI application development.
    • Hands-On Learning Approach - CloudThat emphasizes practical learning through labs, real-world scenarios, guided exercises, and interactive AI implementation workflows. 
    • Customized Learning Paths - Training programs are designed for developers, AI engineers, architects, and cloud professionals with varying levels of expertise and AI adoption goals. 
    • Interactive and Practical Sessions - Sessions include demonstrations, architecture discussions, implementation walkthroughs, troubleshooting exercises, and collaborative activities. 
    • Career and Certification Support - CloudThat supports learners with practical project guidance, interview preparation, and AI-focused cloud career learning paths. 
    • Updated Industry-Relevant Content - Course content is continuously updated to align with the latest advancements in Vertex AI, Agentic AI, RAG systems, conversational agents, and enterprise AI technologies. 
    • Trusted by Enterprises Worldwide - Thousands of professionals and enterprises trust CloudThat for advanced cloud, AI, and Generative AI training programs. 

    Learning Objective of Course :

    • Understand Vertex AI and AI Applications ecosystem
    • Build AI-powered search applications using Vertex AI Search
    • Implement grounding workflows using RAG and Vertex AI Search
    • Create conversational AI agents using Conversational Agents
    • Utilize playbooks and grounded conversation workflows
       
    • Develop multi-agent applications using ADK and Vertex AI Agent Builder
    • Integrate AI-powered search and conversational experiences into enterprise applications
    • Apply best practices for grounded AI systems and enterprise AI architectures
    • Understand modern agentic AI concepts and orchestration workflows
    • Build scalable and intelligent AI-powered business applications

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

    Lecture Content

    • Vertex AI for Generative AI
    • AI Applications: Search, Recommendations, and Agents
    • Use Cases for Vertex AI Search and Agents
    • Enterprise AI Application Architectures
    • Introduction to Intelligent Search and Agentic AI

    Learning Objectives

    • Explore the options in Vertex AI for Generative AI
    • Identify the role of AI Applications: Search, Recommendations, and Agents
    • Examine enterprise use cases for Vertex AI Search and Agents

    Lab Content

    • NA

    Lecture Content

    • Basic Concepts: Apps, Engines, and Data Stores
    • Data Sources and Data Preparation
    • Creating and Managing Data Stores
    • Configuring Vertex AI Search
    • Search Application Deployment Concepts
    • Search Engine Optimization for AI Applications

    Learning Objectives

    • Create enterprise-grade Generative AI applications using AI Applications
    • Choose the appropriate engine for search and conversation apps
    • Import and manage data in data stores
    • Create and configure custom search applications

    Lab Content

    • Lab: Integrating Vertex AI Search Into Your Application

    Lecture Content

    • Why Grounding is Important
    • Retrieval-Augmented Generation (RAG)
    • Grounding Options on Google Cloud
    • Grounding in Vertex AI Studio
    • Grounding using Vertex AI SDK
    • Reducing Hallucinations in AI Systems

    Learning Objectives

    • Understand the importance of grounding AI responses
    • Implement Retrieval-Augmented Generation (RAG) workflows
    • Use grounding options available on Google Cloud
    • Test and validate grounding using Vertex AI Studio and SDK

    Lab Content

    • Lab: Grounding LLMs with Vertex AI Search

    Lecture Content

    • Customer Engagement Suite (CES)
    • Deterministic vs Generative Agents
    • Playbooks and Conversation Management
    • Data Store Tools and Grounded Responses
    • Conversational AI Design Best Practices
    • AI-Powered Customer Interaction Workflows

    Learning Objectives

    • Create conversational agents
    • Manage conversations using playbooks
    • Improve conversational responses using examples
    • Leverage data store tools for grounded responses

    Lab Content

    • Lab: Create a Conversational Agent Playbook Connected to an Unstructured Data Store

    Lecture Content

    • Multi-Agent Applications and Agentic AI
    • Introduction to Agent Development Kit (ADK)
    • Vertex AI Agent Garden
    • Vertex AI Agent Engine
    • Agent Orchestration and Workflow Patterns
    • Building End-to-End AI Applications

    Learning Objectives

    • Explore features and benefits of Agent Development Kit (ADK)
    • Accelerate development using Agent Garden
    • Build multi-agent applications using ADK
    • Integrate Data Store tools within ADK agents

    Lab Content

    • Lab: Using ADK and Multiple Agents with AI Applications

    Certification Details of Develop Search and Agents with AI Applications:

      CloudThat Course Completion Certificate

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    Course ID: 27203

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    FAQs for Develop Search and Agents with AI Applications:

    This course is designed for developers, AI engineers, cloud professionals, and architects interested in building AI-powered search engines, conversational agents, and multi-agent applications.

    The course covers Vertex AI Search, grounding, RAG, conversational agents, AI Applications, ADK, Agent Builder, and multi-agent workflows.

    Yes, basic Python programming knowledge is recommended.

    The course duration is approximately 1 day.

    Yes, the course includes multiple hands-on labs focused on AI search, grounding, conversational agents, and multi-agent application development.

    Grounding connects foundation model responses with trusted enterprise data sources to improve accuracy and reduce hallucinations.

    Yes, learners will explore and implement RAG workflows using Vertex AI Search.

    The course includes Vertex AI, Vertex AI Search, Conversational Agents, Agent Development Kit (ADK), Vertex AI Agent Builder, Agent Garden, and Vertex AI Studio.

    Yes, the course includes conversational agents, playbooks, multi-agent systems, and agent orchestration workflows.

    Yes, this is an intermediate-level course suitable for professionals familiar with Generative AI concepts and Python programming.

    Enquire Now