Install and Manage Google Cloud's Apigee API Platform

Conversational designers, developers, and business analysts.

After this course, participants should be able to:

• 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.

The course includes presentations, demonstrations, and hands-on labs.

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

• Some familiarity with a graphical user interface for Conversational Agents will ease the learning process.
• Understanding JSON is helpful.

None

No recommandation

• Official course book provided to participants.