The CertNexus Certified Artificial Intelligence Practitioner (CAIP) is targeted at data science practitioners starting their careers in the field of artificial intelligence. The certification will help candidates demonstrate their skills to design, implement, and hand-off an AI solution or environment. A certified candidate will have the ability to identify and describe how artificial intelligence and machine learning are used to solve business problems, use an experimental design approach to develop and test a hypothesis, collect and prepare a data set to use for training and testing, and more.
The AIP-110 exam objectives are as follows:
Model Hand-off (10%)
Ethics and Oversight (5%)
Problem Formulation (25%)
Algorithm Selection and Model Training (35%)
Data Collection, Comprehension, Cleaning, and Engineering (20%)
Applied Artificial Intelligence and Machine Learning in Business (5%)
uCertify provides a study guide for the CAIP AIP-110 exam. The CAIP course and lab have the best learning resources to help you with all the basic and advanced concepts covered in the AIP-110 exam.
Requirements for Certified Artificial Intelligence Practitioner (CAIP) Certification
Candidates are required to pass the AIP-110 exam to earn the Certified Artificial Intelligence Practitioner (CAIP) certification.