Certifies that the candidate has the foundational knowledge of AI concepts, technologies, and algorithms and applications.
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. | ||
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| 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