W7L165G  Building Advanced Intelligent Virtual Agents in IBM watsonx Assistant

Duration:    6 Hours

Level:          Advanced

Audience:   Business Analyst, Solution Advisor, Data Scientist

Next Sessions
Start (YYYY-MM-DD) End (YYYY-MM-DD) Language Amount
2024-05-10 2024-05-10 English 1250 EUR 1591
2024-05-24 2024-05-24 English 1250 EUR 1605
2024-06-07 2024-06-07 English 1250 EUR 1619
2024-06-21 2024-06-21 English 1250 EUR 1633
2024-07-05 2024-07-05 English 1250 EUR 1647
2024-07-19 2024-07-19 English 1250 EUR 1661
2024-08-02 2024-08-02 English 1250 EUR 1675
2024-08-16 2024-08-16 English 1250 EUR 1689
2024-08-30 2024-08-30 English 1250 EUR 1703
2024-09-13 2024-09-13 English 1250 EUR 1717
2024-09-27 2024-09-27 English 1250 EUR 1731
2024-10-11 2024-10-11 English 1250 EUR 1745
2024-10-25 2024-10-25 English 1250 EUR 1759
2024-11-08 2024-11-08 English 1250 EUR 1773
2024-11-22 2024-11-22 English 1250 EUR 1787
2024-12-06 2024-12-06 English 1250 EUR 1801
2024-12-20 2024-12-20 English 1250 EUR 1815
Overview

The overall intention of watsonx Assistant is to enable the user to interact from anywhere and to engage with any company data.

 

This course enables the student to create watsonx Assistant instances that resolve multiple user tasks through the access of channels like webchat, telephone and third-party customer service applications like GENESYS and custom extensions that hold proprietary real time data, as well as, provide generative AI interactions.

 

A persona and its personality are important chrematistics of the users' interaction. Emotions, tone, language can call impact a user's experience and thus the company's image.

 

Actions contain steps which begin with conditions that evaluate user, session, and extension variables and decide whether specific steps should run or not run. 

 

Primary actions can orchestrate a complex system of tasks by sending users to subactions and their requests to different custom extensions.  Journeys provide the user with assistance to complete complex tasks already available in a web site using the techniques of Show, Tell, and Do. The user can switch between chat and web site functionality and back to chat using a number of different tools like images, text, video, and interactive iFrames.

 

watsonx Assistant includes the preview function which provides a number of debugging tools which allow the practitioner to find the value of variables, steps, confidence scores, and extension properties.

Prerequisites

 

After completing this course, you should be able to:

  • Explain functionality of watsonx Assistant
  • Explain architecture
  • Create new actions, upload existing actions, edit them, download as backup
  • Add phone channel using Watson Speech to Text and Text to Speech
  • Create, add, and run custom extension 
  • Debug existing action
  • Understand management
  • watsonx Assistant interface
  • Architecture
  • Journeys
  • Integrations: Channels and Extensions
  • Enterprise Management
  • Generative AI 
  • Course summary