This badge was issued to Omar Elyazed on 11 Feb 2020.
Artificial Intelligence Analyst - Instructor Award 2019
Issued by
IBM
This badge earner has delivered the program course on how to apply machine learning algorithms and build AI solutions by using IBM Watson. This individual has been able to teach topics such as AI, Natural Language Processing (NLP), chatbots, and computer vision, using Watson Assistant, Discovery, Machine Learning, Watson Studio, Knowledge Studio, Visual Recognition, Tone Analyzer, and Natural Language Understanding.
- Type Validation
- Level Intermediate
- Time Months
Skills
- Algorithms
- Artificial Intelligence
- Business Analytics
- Chatbots
- Cognitive Computing
- Computer Vision
- Conversation
- CRISP-DM
- Discovery
- Evaluation Metrics
- IBM Watson
- Knowledge Studio
- Machine Learning
- Natural Language Processing
- Natural Language Understanding
- Notebooks
- PWID-B0457500
- Statistical Models
- Tone Analyzer
- Visual Recognition
- Watson Studio
Earning Criteria
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Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
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Teaching of Module I - Artificial Intelligence Overview: Introduction to artificial intelligence; AI types, integral components of AI systems; Factors that influenced the evolution of AI; Applications of AI in the industry, government, and science; Business analytics.
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Teaching of of Module II - Artificial Intelligence Prerequisites: Introduction to IBM Watson; IBM Watson applied to industry; Business and science; IBM Watson use cases; Evolution from DeepQA to Watson services; Watson services overview.
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Teaching of Module III - Artificial Intelligence Analyst: Applying machine learning algorithms; Exploring Watson services; Watson Studio; Watson Machine Learning; Exploring Deep Learning and Neural Network; NLP concepts and components; Discovery; Creating a machine learning model; Watson Assistant; building chatbot solutions; Computer vision; Classifying images with Watson Visual Recognition; Creating a cognitive banking chatbot; Integrating Watson Knowledge Studio with Discovery.
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Teaching the course under the supervision of a qualified instructor, and receiving teaching approval from the supervising instructor.
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Delivering the training to at least 15 university students, faculty members, and/or professionals, and having 60% of the audience pass the final exam.