Academy | Syllabus

Certified Artificial Intelligence Practitioner™ (CAIP)

Offered by CertNexus®, Certified Artificial Intelligence Practitioner™ (CAIP) certificate is an in-demand, fast-growing training program and certification designed for data practitioners desiring to get equipped with vendor-neutral, cross-industry knowledge of Artificial Intelligence (AI) concepts and skills. The Certified Artificial Intelligence Practitioner™ (CAIP) training program offered by Multimatics is designed to help participants apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. The training material is prepared based on the latest edition of CAIP, accompanied by discussions and exercises to work on the questions.

Multimatics is an Authorized Training Partner for the Certified Artificial Intelligence Practitioner™ (CAIP) training and certification program accredited by the CertNexus®.

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+21

Years of Experiences

+6.000

Delivered Training Programs

+50.000

Professionals

90%

Exam Pass Rate

Program Details

Durations

The program is a 5-day intensive training class.

Method of Delivery

The program provided by Multimatics will be delivered through interactive presentation by professional instructor(s), group debriefs, individual and team exercises, behavior modelling and roleplays, one-to-one and group discussion, case studies, and projects.

Who Should Attend?

This program is designed for

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
Data Evangelist
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
Digital Knowledge Manager

Program Objectives

By the end of the program, participants will be able to:

Solve a given business problem using AI and ML
Prepare data for use in machine learning
Train, evaluate, and tune a machine learning model
Build linear regression models
Build forecasting models
Build classification models using logistic regression and k -nearest neighbor
Build clustering models
Build classification and regression models using decision trees and random forests
Build classification and regression models using support-vector machines (SVMs)
Build artificial neural networks for deep learning
Put machine learning models into operation using automated processes
Maintain machine learning pipelines and models while they are in production