This badge was issued to Moataz Youssef on 21 Oct 2020.
Artificial Intelligence Analyst 2020 - Explorer Award
Issued by
IBM
Through an instructor-led classroom, this badge earner has demonstrated the ability to apply machine learning algorithms and build AI solutions by using IBM Watson. This individual has demonstrated an understanding of topics such as AI, Natural Language Processing (NLP), chatbots, computer vision, Watson Studio, Watson Machine Learning, AutoAI, Watson Assistant, Discovery, Natural Language Understanding, Knowledge Studio, and Visual Recognition.
- Type Validation
- Level Intermediate
- Time Months
Skills
- Algorithms
- Artificial Intelligence
- AutoAI
- Chatbots
- Cognitive Computing
- Computer Vision
- CRISP-DM
- Discovery
- IBM Watson
- Jupyter Notebook
- Knowledge Studio
- Machine Learning
- Model Evaluation Metrics
- Natural Language Processing
- Natural Language Understanding
- PWID-B0232600
- Statistical Models
- Visual Recognition
- Watson Services Integration
- 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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Completion 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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Completion 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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Completion of Module III - AI Analyst: Intro to machine learning; machine learning algorithms; Naïve Bayes classification; Linear/Logistic regression; K-mean clustering; Neural networks; Watson Studio; Watson Machine Learning; Deep Learning & Neural Network Modeler; NLP concepts, components and evaluation metrics; Machine learning models; Chatbots & Watson; Computer vision; Watson Visual Recognition; Classifying images with Visual Recognition; Integrating Watson Knowledge Studio with Discovery.
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Pass the Artificial Intelligence Analyst 2020 practice test.