The Certified Artificial Intelligence Practitioner™ (CAIP) training program is designed for data science practitioners entering the field of artificial intelligence who are seeking to build a vendor-neutral, cross-industry foundational knowledge of AI and Machine Learning (ML) concepts, technologies, algorithms, and applications that will enable them to become a capable practitioner in a wide variety of AI-related job functions

Exam Details

Exam Codes AIP-110
Launch Date Fall 2019
Sunset Date TBD
Target Candidate This certification exam is designed for practitioners who are seeking to demonstrate a vendor-neutral, cross-industry skill set within AI and with a focus on ML that will enable them to design, implement, and hand off an AI solution or environment.
Common Job Titles
  • Machine Learning Scientist
  • Data Scientist
  • Research Scientist
  • Applied Scientist
  • AI Developer
  • Conversation/Content interface writer
  • Avatar Animator
  • Machine Learning Engineer
  • UI/UX Designer
  • Robotics Process Analyst
  • Digital Knowledge Manager
  • Cognitive Copywriter
  • Digital Knowledge Manager
  • Data Evangelist
  • Data Curator
  • Intelligence Designer
  • Business Intelligence Data Analyst
  • Director of Business Intelligence
  • Data engineer
  • Robotics Scientist
  • AI Research Scientist
  • Business Intelligence Developer
  • Business Intelligence Analyst
  • Statistician
  • Applied Scientist
  • AI Researcher
Exam Description This exam will certify that the candidate has the knowledge and skill set of AI concepts, technologies, and tools that will enable them to become a capable AI practitioner in a wide variety of AI-related job functions.
Number of Items 80
Item Formats Multiple Choice/Multiple Response
Exam Duration 120 minutes (including 5 minutes for Candidate Agreement and 5 minutes for Pearson VUE tutorial)
Exam Options In person at Pearson VUE test centers or online via Pearson OnVUE online proctoring
Passing Score 60%

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AIP-110 Contributors

  • Mark Szewczul, Security Engineer / Arxan Technologies and Software Architect / Digital.ai
  • Erin Scott McGee, Customer Success Manager / Caribu
  • Eduardo Polidor, Chief Technology Officer / Botanic Technologies, Inc. and Cloud Architect / Parhelia Studio LLC
  • Dustin Sitar, Business Development Lead / Zappos
  • Ameen Kazerouni, Head of ML/AI Research and Platforms / Zappos
  • Raymond Ptucha, Visual Experience Group, Panel Process & Optics / Apple