Develop Conversational Agents on Google Cloud
(3 days)
Course Description
Conversational Agents, part of AI Applications, is an intelligent, conversational (GUI) interface. Conversational Agents uses an AI development system with access to SDKs and APIs in multiple languages. In this course, you will learn how to leverage Conversational Agents to design and build conversational agents on Google Cloud.
Learning objectives
- Understand the different kinds of conversations available with an artificial intelligent (AI) agent.
- Design an AI agent for a deterministic intent-based domain.
- Understand how a user’s request is translated into an action and response.
- Use webhooks to access data and products that are not part of the agent.
- Handle user errors and unexpected requests.
- Use the graphical user interface (GUI) to develop an agent.
- Gain a working knowledge of the testing tools available in the GUI.
- Integrate a chatbot into external user interfaces.
- Incorporate generative AI features into your agent.
Prerequisites
Some familiarity with a graphical user interface for Conversational Agents will ease the learning process. Understanding JSON is helpful.
Audience
Conversational designers, developers, and business analysts
Course Outline
Module 1: Introduction to Conversational Agents
- Google’s goals for virtual agents
- Virtual agent product suites
- Lab: Exploring the Conversational Agents User Interface
Module 2: Introduction to Conversational Design
- Convergent and divergent approaches
- Conversation design strategy
Module 3: Steering Bot Design Basics
- Use cases
- Virtual agents
- Start pages
- Routes
- Pages
Module 4: Implementing Bot Design
- Use case review
- Agent architecture
- Creating the virtual agent
- Creating the route
- Testing the route
- Lab: Conversational Agents: Bot Building Basics
Module 5: Entities
- Introduction to entities
- System entity types
- Custom entity types
- Managing entities in an agent
Module 6: Parameters
- Introduction to parameters
- Parameters from intents
- Preset parameters
- Parameters from webhooks
- Lab: Conversational Agents: Parameter Manipulation
Module 7: Event Handlers
- Definition of event handlers
- Page, flow event handler, and scope rules
- Form event handler and scope rules
Module 8: Versions and Environments
- Version management in Conversational Agents
- Environment management in Conversational Agents
- Lab: Conversational Agents: Managing Environments
Module 9: Testing
- Validation
- Publication
- Simulation
- Lab: Debugging the Agent Using Test Agent
Module 10: Fulfillment
- Introduction to fulfillment
- Examples of static fulfillment
Module 11: Integrations
- Google Messenger
- Conversational Phone Gateway
Module 12: Webhooks
- Why have a webhook?
- Types of webhooks
- Setting up a fulfillment webhook
- Modifications for a JSON response webhook
Module 13: Route Groups
- Introduction to route groups
- Managing a route group
- Lab: Configuring a Route Group for Your Virtual Agent
Module 14: Design Techniques
- The concept of a flow
- Steering bot designs
- The concept of guardrails
- Design principle
Module 15: Generators and Generative Fallback
- Overview of generators
- Overview of generative fallback
- Lab: Conversational Agents with Generative Fallbacks
