Course Overview:

This instructor-led course guides participants through the design and development of conversational agents using Google Cloud tools. Through 15 comprehensive modules and 7 hands-on labs, learners will gain the skills needed to build AI-driven chatbots, integrate them with external services, apply parameters and fulfillment logic, and enhance them with generative AI fallback capabilities. Ideal for conversational designers, developers, and analysts, this course also emphasizes responsible design, modularity, and effective testing. 

After completing this course, participants will be able to:

  • Understand how AI agents interpret user input and generate responses
  • Design deterministic, intent-based conversational flows
  • Use GUI interfaces to build and test virtual agents
  • Handle errors and unexpected inputs gracefully
  • Integrate external services using webhooks
  • Organize routes, flows, pages, and parameters
  • Apply event handling and environment versioning
  • Deploy agents via integrations like Google Messenger and Phone Gateway
  • Implement generative fallback using Vertex AI

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Key Features:

  • 15 Learning Modules: Cover design basics to generative fallback techniques 

  • 7 Hands-On Labs: Includes parameter manipulation, route creation, debugging, and tagging 

  • GUI-Driven Development: No coding required for most tasks, accessible to non-developers 

  • Webhook Integration: Learn to extend agent capabilities by accessing external data 

  • Generative AI Capabilities: Explore the use of generators and fallback using Gemini/Vertex AI 

  • Real-World Testing: Use validation, simulation, and UAT to build production-ready agents 

Prerequisites:

To get the most out of this course, it is recommended that participants have:
  • Some familiarity with graphical user interfaces for conversational agents is helpful.
  • SUnderstanding JSON will ease the learning process but is not mandatory.

    • 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.
    • Positive Reviews and Testimonials: Reviews and testimonials from past learners can strongly indicate the quality of training provided. You can Check feedback and reviews about our GCP courses that can provide potential learners with insights into the effectiveness and value of the training.

    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

    Objectives

    • Describe the goals of virtual agent development and product suites

    Activities

    • Lecture, Demo, Lab: Exploring the Conversational Agents UI

    Topics

    • Convergent and divergent design approaches
    • Conversation design strategy

    Objectives

    • Understand virtual agent design principles

    Activities

    • Lecture, Discussion

    Topics

    • Use cases and virtual agents
    • Start pages, routes, and pages

    Objectives

    • Design a basic steering bot using Conversational Agents

    Activities

    • Lecture, Demo

    Topics

    • Use case review and agent architecture
    • Creating virtual agent, route, intents, and pages Testing the route

    Objectives

    • Create an agent, a route, intents, and pages Implement routes without parameters Use test agent for testing

    Activities

    • Lecture, Lab: Bot Building Basics

    Topics

    • System and custom entity types
    • Managing entities in an agent

    Objectives

    • Access and manipulate entity parameters
    • Create custom RegEx and list entities
    • Apply best practices for system entity extension

    Activities

    • Lecture, Demo

    Topics

    • Parameters from intents and webhooks Preset parameters

    Objectives

    • Manipulate parameters using various methods

    Activities

    • Lecture, Lab: Parameter Manipulation

    Topics

    • Definition and types of event handlers Scope rules for page, flow, and form event handlers

    Objectives

    • Understand event handler types and usage in agents

    Activities

    • Lecture, Discussion

    Topics

    • Version and environment management

    Objectives

    • Use version testing
    • Use environments for different audiences

    Activities

    • Lecture, Lab: Managing Environments

    Topics

    • Validation, publication, and simulation

    Objectives

    • Validate for static analysis
    • Publish for UAT
    • Simulate for unit testing

    Activities

    • Lecture, Lab: Debugging the Agent

    Topics

    • Static, conditional, and custom fulfillment

    Objectives

    • Use different types of fulfillment options

    Activities

    • Lecture, Demo

    Topics

    • Google Messenger
    • Conversational Phone Gateway

    Objectives

    • Configure external interfaces for agent integrations

    Activities

    • Lecture, Demo

    Topics

    • Webhook types
    • Setting up and modifying webhook responses

    Objectives

    • Set up a webhook with fulfillment and JSON response

    Activities

    • Lecture, Demo

    Topics

    • Flow route groups
    • Session route groups

    Objectives

    • Set up and manage route groups

    Activities

    • Lecture, Lab: Configuring Route Groups

    Topics

    • Flow design and guardrails
    • Agent design principles

    Objectives

    • Use flows and guardrails to improve agent design

    Activities

    • Lecture, Discussion

    Topics

    • Overview of generators and fallback strategies

    Objectives

    • Use generators and fallback for conversational resilience

    Activities

    • Lecture, Lab: Conversational Agents with Generative Fallbacks

    Certification Details:

      CloudThat Course Completion Certificate

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    Course ID: 26123

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    FAQs:

    It’s ideal for conversational designers, bot developers, and business analysts aiming to build chatbots using Google Cloud.

    The course spans agent design, parameters, fulfillment, integrations, testing, webhooks, route grouping, and generative fallback.

    No. Most tasks are GUI-based. However, knowing JSON and webhooks can be helpful.

    It is a 3-day instructor-led course with 15 modules and 7 hands-on labs.

    Conversational Agents, Vertex AI, Agent Builder, and integrations such as Google Messenger.

    Yes. There’s a dedicated module and lab on debugging, validation, simulation, and UAT.

    Yes. You’ll learn to implement fallback responses using Vertex AI and generative techniques.

    Yes. You'll create webhooks that return both static and JSON responses to extend bot functionality.

    Labs on building bots, managing entities, parameters, environments, and working with route groups.

    Yes. A CloudThat certificate is provided after successful participation.

    Enquire Now