Course Overview:

This course introduces learners to Conversational Agents on Google Cloud and provides hands-on experience designing, building, testing, and deploying AI-powered virtual agents. Through instructor-led sessions and labs, participants will learn conversational design principles, routing strategies, webhook integrations, testing methodologies, fulfillment techniques, and generative AI capabilities for conversational experiences.

After completing Develop Conversational Agents on Google Cloud , participants will be able to:

  • Understand conversational AI concepts and agent architectures.
  • Design deterministic intent-based conversational agents.
  • Build conversational flows using routes, pages, entities, and parameters.
  • Integrate external systems using webhooks.
  • Handle user errors and unexpected conversational paths.
  • Test, debug, and manage environments for conversational agents.
  • Integrate agents with external interfaces and messaging platforms.
  • Incorporate generative AI and fallback capabilities into virtual agents.

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Key Features of Develop Conversational Agents on Google Cloud

  • Conversational AI Foundations

    Understand the goals and capabilities of conversational AI systems.

    Explore Conversational Agents, Vertex AI Agents, and Vertex AI.

    Learn virtual agent product suites and conversational design strategies.

  • Hands-On Conversational Agent Development

    Build conversational agents using graphical interfaces.

    Create flows, routes, intents, and pages.

    Develop steering bots and multi-step conversational experiences.

  • Entity and Parameter Management

    Create and manage system and custom entities

    Use RegEx and list entities for intelligent extraction.

    Manipulate parameters from intents, presets, and webhooks

  •  Advanced Routing and Event Handling

    Configure page and flow event handlers.

    Build reusable route groups and conversational flows.

    Implement error handling and conversational guardrails

  •  Fulfillment and Webhook Integration

    Configure static and conditional fulfillment.

    Connect external APIs and systems using webhooks.

    Process JSON responses and dynamic conversational data

  • Testing, Debugging, and Environment Management

    Validate conversational agents for static analysis.

    Simulate and debug conversations using testing tools.

    Manage versions and deployment environments.

  • Integration with Communication Channels

    Integrate conversational agents with Google Messenger.

    Configure Conversational Phone Gateway.

    Deploy agents into external user interfaces.

  • Generative AI Features

    Explore generators and generative fallback mechanisms.

    Enhance conversational flexibility using generative AI.

    Build modern AI-powered conversational experiences.

  • Conversational Designers
  • Developers
  • Business Analysts
  • AI Application Builders
  • Customer Experience Teams

Prerequisites of Develop Conversational Agents on Google Cloud

  • Basic familiarity with graphical user interfaces
  • Understanding of JSON is helpful
  • Basic understanding of conversational systems recommended

    • Why choose CloudThat as your training partner?

    • Specialized GCP Focus: CloudThat specializes in cloud technologies, offering focused and specialized training programs. We are Authorized Trainers for the Google Cloud Platform. This specialization ensures in-depth coverage of GCP services, use cases, best practices, and hands-on experience tailored specifically for GCP.
    • Industry-Recognized Trainers: CloudThat has a strong pool of industry-recognized trainers certified by GCP. These trainers bring real-world experience and practical insights into the training sessions, comprehensively understanding how GCP is applied in different industries and scenarios.
    • Hands-On Learning Approach: CloudThat emphasizes a hands-on learning approach. Learners can access practical labs, real-world projects, and case studies that simulate actual GCP environments. This approach allows learners to apply theoretical knowledge in practical scenarios, enhancing their understanding and skill set.
    • Customized Learning Paths: CloudThat understands that learners have different levels of expertise and varied learning objectives. We offer customized learning paths, catering to beginners, intermediate learners, and professionals seeking advanced GCP skills.
    • Interactive Learning Experience: CloudThat's training programs are designed to be interactive and engaging. We utilize various teaching methodologies like live sessions, group discussions, quizzes, and mentorship to keep learners engaged and motivated throughout the course.
    • Placement Assistance and Career Support: CloudThat often provides placement assistance and career support services. This includes resume building, interview preparation, and connecting learners with job opportunities through our network of industry partners and companies looking for GCP-certified professionals.
    • Continuous Learning and Updates: CloudThat ensures that our course content is regularly updated to reflect the latest trends, updates, and best practices within the GCP ecosystem. This commitment to keeping the content current enables learners to stay ahead in their GCP knowledge.
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    Learning Objective of Course

    • To provide learners with practical knowledge and skills to design, implement, test, and enhance intelligent AI agents using Google Cloud's Conversational Agents suite, including webhook integration and generative fallback.

    Course Outline: Download Course Outline

    Topics

    • Google’s goals for virtual agents
    • Virtual agent product suites

    Learning Outcomes

    • Understand the goals of conversational AI.
    • Identify different conversational AI product suites.

    Activities

    • Conversational AI Overview
    • Product Demonstration
    • GUI Exploration Lab

    Topics

    • Convergent and divergent design approaches
    • Conversation design strategy

    Learning Outcomes

    • Understand virtual agent design principles
    • Design effective user conversation flows.

    Activities

    • Conversation Mapping Exercise
    • Design Workshop
    • Strategy Discussion

    Topics

    • Use cases and virtual agents
    • Virtual Agents
    • Start Pages
    • Routes
    • Pages

    Learning Outcomes

    • Design a basic steering bot using Conversational Agents
    • Create structured conversational flows.

    Activities

    • Steering Bot Design Lab
    • Route Configuration Demo
    • Flow Design Exercise

    Topics

    • Agent Architecture
    • Creating Virtual Agents
    • Creating Routes
    • Testing Routes

    Learning Outcomes

    • Build agents with routes, intents, and pages.
    • Test conversational paths effectively.

    Activities

    • Conversational Agent Build Lab
    • Route Testing Exercise
    • Architecture Walkthrough

    Topics

    • System and custom entity types
    • Custom Entity Types
    • Managing Entities

    Learning Outcomes

    • Create and manage custom entities.
    • Extend system entities using recommended practices.

    Activities

    • • Entity Creation Lab
    • • RegEx Entity Exercise
    • • List Entity Workshop

    Topics

    • • Parameters from Intents
    • • Preset Parameters
    • • Parameters from Webhooks

    Learning Outcomes

    • Manipulate conversational parameters.
    • Use parameters dynamically in conversations.

    Activities

    • Parameter Manipulation Lab
    • Intent Configuration Exercise
    • Webhook Parameter Demo

    Topics

    • Event Handlers
    • Scope Rules
    • Form Event Handling

    Learning Outcomes

    • Configure page and flow event handlers.
    • Handle conversational events effectively.

    Activities

    • Event Handling Demo
    • Scope Configuration Exercise
    • Conversational Recovery Scenarios

    Topics

    • Version and environment management
    • Environment Management

    Learning Outcomes

    • Manage conversational agent versions.
    • Configure environments for testing and deployment.

    Activities

    • Environment Configuration Lab
    • Version Testing Exercise
    • Deployment Workflow Demo

    Topics

    • Validation, publication, and simulation
    • Publication
    • Simulation

    Learning Outcomes

    • Validate conversational agents.
    • Simulate conversations for testing.

    Activities

    • • Agent Debugging Lab
    • • Simulation Exercise
    • • UAT Publishing Demo

    Topics

    • Static Fulfillment
    • Conditional Fulfillment
    • Custom Fulfillment

    Learning Outcomes

    • Configure conversational fulfillment.
    • Build dynamic response logic.

    Activities

    • Fulfillment Configuration Demo
    • Conditional Logic Exercise
    • Custom Response Workshop

    Topics

    • Google Messenger
    • Conversational Phone Gateway

    Learning Outcomes

    • Integrate conversational agents with communication channels.
    • Configure external messaging interfaces.

    Activities

    • Messenger Integration Demo
    • Phone Gateway Configuration
    • Integration Testing Exercise

    Topics

    • Webhook types
    • • Fulfillment Webhooks
    • • JSON Response Webhooks

    Learning Outcomes

    • • Configure and manage webhooks.
    • • Process external data within conversations.

    Activities

    • • Webhook Integration Lab
    • • JSON Response Exercise
    • • API Communication Demo

    Topics

    • Flow route groups
    • Session route groups

    Learning Outcomes

    • Configure reusable route groups.
    • Improve conversational structure and scalability.

    Activities

    • Route Group Configuration Lab
    • Session Routing Exercise
    • Flow Organization Demo

    Topics

    • Flow Concepts
    • Steering Bot Designs
    • Guardrails
    • Design Principles

    Learning Outcomes

    • Build scalable conversational architectures.
    • Implement guardrails for reliable agent behavior.

    Activities

    • Flow Design Workshop
    • Guardrail Implementation Exercise
    • Best Practices Discussion

    Topics

    • Generators
    • Generative Fallback

    Learning Outcomes

    • Use generative AI capabilities in conversational agents.
    • Configure intelligent fallback mechanisms.

    Activities

    • Generative Fallback Lab
    • AI Response Configuration Exercise
    • Conversational AI Enhancement Demo

    Certification Details of Develop Conversational Agents on Google Cloud

      CloudThat Course Completion Certificate will be awarded to all learners who complete the training.

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    Course ID: 26123

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    FAQs:

    This course is designed for conversational designers, developers, and business analysts interested in building AI-powered conversational applications.

    Yes. The course includes multiple labs and guided conversational agent development exercises.

    Conversational Agents, Vertex AI Agents, and Vertex AI.

    Yes. The course includes webhook setup, JSON response handling, and external integration techniques

    Yes. Learners will work with generators and generative fallback features.

    3-day instructor-led training with lectures, labs, demos, and interactive activities.

    Basic familiarity with JSON and graphical interfaces is helpful, but deep programming expertise is not mandatory.

    Yes. A CloudThat Course Completion Certificate will be awarded after successful participation.

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