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.

Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users.

Prerequisites:

To ensure your success in this course, you should have at least a high-level understanding of fundamental AI concepts, including, but not limited to: machine learning, supervised learning, unsupervised learning, artificial neural networks, computer vision, and natural language processing.

You should also have experience working with databases and a high-level programming language such as Python, Java, or C/C++. Y•

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%