CertNexus Certified Artificial Intelligence Practitioner CAIP (AIP-210)

Designed for working professionals with foundational experience in the discipline. A post-secondary degree in computer science, IT, business, or related fields may substitute for up to one year of experience. Part-time work, internships, or relevant certifications can also count toward the requirement.

To ensure your success in this course, you should be familiar with the concepts that are foundational to data science, including:

The overall data science and machine learning process from end to end: formulating the problem; collecting and preparing data; analyzing data; engineering and preprocessing data; training, tuning, and evaluating a model; and finalizing a model.

Statistical concepts such as sampling, hypothesis testing, probability distribution, randomness, etc.

Summary statistics such as mean, median, mode, interquartile range (IQR), standard deviation,skewness, etc.

Graphs, plots, charts, and other methods of visual data analysis.

You can obtain this level of skills and knowledge by taking the CertNexus course Certified Data Science Practitioner (CDSP) (Exam DSP-110).

You must also be comfortable writing code in the Python programming language, including the use of fundamental Python data science libraries like NumPy and pandas. The Logical Operations course Using Data Science Tools in Python® teaches these skills