This course introduces learners to Conversational AI and its associated technologies, historical development, contemporary forms and applications, all with a particular emphasis on business.
This course teaches how to prepare, develop, and deploy an IBM Watson Assistant. Applies to Watson Assistant on Cloud and Watson Assistant on Cloud Pak for Data.
This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data.
You will learn how Watson OpenScale on the IBM Cloud lets business analysts, data scientists, and developers build monitors for artificial intelligence (AI) models to manage risks.
This course will give you an overview on the concept of fairness which helps in building trust in AI and how “AI Fairness 360” can help measure, understand and mitigate AI bias.
This course will give you an overview of the concept of transparency and how AI FactSheets can help you achieve transparency tailored to the particular AI model or service.
This course will take the learner through the creation of an end-to-end automated pipeline built by Watson Studio’s AutoAI experiment tool, explaining the underlying technology at work.
This course is designed to teach modelers how to build a complete model in IBM Planning Analytics using the Architect tool.
IBM Cognos Command Center: Automation Using Plugin Tasks (V10.2) eLearning – WBT. Displays many ways in which IBM Cognos Command Center (ICCC) functionality can be extended using plugins.