IBM Watson Assistant Methodology (W7070G-WBT)


This course covers the methods of preparing for, training, and implementing an IBM Watson Assistant chatbot. It provides instruction on every step of the Assistant development process, including common use case review, user scenario development, vocabulary comprehension, data collection, tooling use, and deployment.  Applies to Watson Assistant on Cloud and Watson Assistant on Cloud Pak for Data.


The audience for this training includes: 
• Business decision makers looking for details on applications to increase employee productivity, optimize business processes, and improve the customer experience 
• Subject matter experts who collect user input and craft dialog for the solution 
• Developers who integrate front and back-end systems with corporate software 
• Designers who create user interfaces for applications 
• Performance managers who set goals and track success




Watson Assistant Essentials 
Building Dialog Nodes 
Dialog Options 
Slots and Digressions 
Deploy and Manage 

mostrar detailes

Course Outline

Unit 1: Watson Assistant Essentials 
• Understand assistant use cases and solution patterns 
• Understand necessary data collection processes 
• Understand IBM Watson Assistant vocabulary  
• Create a dialog skill 
• Define Intents and entities 

Unit 2: Building Dialog Nodes 
• Explain how to write dialog content  
• Describe default node features 
• Demonstrate how to edit a node 
• Edit context variables 
• Describe how to direct dialog flow 
• Demonstrate next action options 

Unit 3: Dialog Options 
• Define the options panel 
• Describe webhooks 
• Describe disambiguation 
• Describe autocorrect 
• Describe irrelevance detection 

Unit 4: Slots and Digressions 
• Define the slots functionality 
• Identify use case for slots 
• Demonstrate slots 
• Define digressions funcationality 
• Identify uses for digressions 
• Demonstrate digressions 

Unit 5: Deploy and Manage 
• Describe how the IBM Watson Assistant API calls work 
• Describe five best practices of UI design for Assistants 
• Explain how to deploy and manage an IBM Watson Assistant