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Certified Artificial Intelligence Practitioner®

Provider
Pearson VUE
Format
Proctored multiple-choice / multiple-response examination; in person at Pearson VUE test centers or online through Pearson OnVUE.
Exam questions
Scored questions: 80.
Time limit
120 minutes, including 5 minutes for the Candidate Agreement and 5 minutes for the Pearson VUE tutorial.
Passing score
60% or 59% depending on exam form; forms have been statistically equated.
Examination outline
  • Understanding the Artificial Intelligence Problem (26%)
    • Describe how artificial intelligence and machine learning are used to solve business problems
    • Analyze the use cases of ML algorithms to rank them by their success probability
    • Research Learning Systems
    • Analyze machine learning system use cases
    • Communicate with stakeholders
    • Identify potential ethical concerns
  • Engineering Features for Machine Learning (20%)
    • Recognize relative impact of data quality and size to algorithms
    • Explain data collection/transformation process in ML workflow
    • Work with textual, numerical, audio, or video data formats
    • Transform numerical and categorical data
    • Address business risks, ethical concerns, and related concepts in data exploration/feature engineering
  • Training and Tuning ML Systems and Models (24%)
    • Design machine and deep learning models
    • Optimize the algorithm
    • Train, validate, and test data subsets
    • Evaluate the model
    • Address business risks, ethical concerns, and related concepts in training and tuning
  • Operationalizing ML Models (30%)
    • Deploy a model
    • Secure a pipeline (includes maintenance)
    • Maintain the model postproduction
    • Address business risks, ethical concerns, and related concepts in operationalizing the model
Examination sources

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This examination may be required or accepted as an alternative, depending on the license and application pathway.