Automation AI: Context and Flow Management

The course covers essential components of modern virtual assistant architecture, including entity recognition and management, dialog task construction, conversation flow control, and interruption handling. By the end of this course, you will be able to:

• Configure and manage advanced entity types to extract structured information from user inputs
• Implement list-based entities for handling multiple item selections and complex data structures
• Design composite entities that combine various data types for comprehensive information extraction
• Execute entity amendment processes to handle corrections and updates during conversations
• Construct reusable dialog task components that can be shared across multiple conversational scenarios
• Develop and manage standard response libraries that ensure consistent brand voice and messaging

Before you begin

We recommend you complete the below courses before starting this course:

• Automation AI: Overview
• Automation AI: Orchestration and Intent Identification
• Automation AI: Basic Concepts of Building Dialog Task
• Automation AI: Explore Knowledge AI
• Automation AI: Deep-dive into GenAI Capabilities
• Automation AI: Integrations
• Automation AI: Deploying AI Agent
• Automation AI: Analyzing Performance of AI Agent
• Automation AI: Configuring Voice Experience
• Automation AI: Platform Extensions and APIs
• Automation AI: Handing off Conversations to Human Agents
• Automation AI: Advanced Monitoring and Analytics