This badge was issued to Omar Amer on 05 Feb 2017.
Cognitive Computing Developer - Author Award for Professionals 2017 - 2019
Issued by
IBM
The badge earner has significantly contributed to the authoring of courseware: technical content, labs, exams, quizzes, etc. The course objective is to teach students an introduction to Cognitive Computing concepts, how to develop Cognitive Computing solutions by using APIs, development tools, and cognitive services available in the Watson Development Cloud. The author has developed assets that teach students how to use technologies such as Watson APIs and Bluemix to develop cognitive solutions.
Additional DetailsSkills
- Application Programming
- Artificial Intelligence
- Bluemix
- Cognitive Computing
- Domain Adaptation
- Git
- Java
- Language Translator
- Natural Language Classifier
- Natural Language Processing
- Natural Language Understanding
- Node.js
- NodeRed
- PWID-B0304700
- Question Answering Technology
- Speech-to-Text
- Text-To-Speech
- Visual Recognition
- Watson Conversation
- Watson Knowledge Studio
- Watson Services
Earning Criteria
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Expected to be an Information Technology professional working for IBM, an IBM Customer, or Business Partner and attending the IBM Skills Academy.
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Subject Matter Expertise of topics in Module I - Cognitive Computing Introduction: Covering Define cognitive computing from a business perspective; Define cognitive computing from an academic perspective; Define the basic AI concepts and technologies; Explain the landscape of cognitive computing in the industry; Explain the areas where Watson is applied to solve real world problems; Describe use cases for which cognitive computing capabilities are essential to build a solution.
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Subject Matter Expertise of topics in Module II - Deep QA Architecture: Covering Define Question Answering (QA) Systems; Identify each unit of a QA system architecture (question analysis, primary search, hypothesis generation, answer scoring, passage scoring, merge candidate answers, and confidence scoring); Explain high level AI concepts that are needed to understand QA systems; Describe technologies implemented in QA Architecture units; Describe how machine learning is critical to a QA System.
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Subject Matter Expertise of topics in Module III - Cognitive Developer Cloud: Covering Cognitive Cloud Overview; Conversation - API Overview; Conversation API components (State Diagram, Workspace, Entity, Intent, Dialog, Condition); Language Translator - API Concepts; Text to Speech & Speech to Text - API Concepts; Visual Recognition - API Concepts; Natural Language Classifier & Retrieve and Rank - API Concepts.
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Subject Matter Expertise of topics in Module IV - Domain Adaptation: Covering Domain Adaptations overview; How to adapt IBM Watson services to specific domains; Understand how domain adaptation works at different levels (content, training, functional); Information Extraction services; Watson Text to Speech; Watson Speech to Text; Train some services using Watson Knowledge Studio.
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The above expertise must be demonstrated by holding a professional certification and/or have experience in application development, customer support or participating in client projects in the cognitive computing field.
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Validated contribution to the development of assets of the course components by the world wide IBM education program leader.