&lt;p class=&quot;ql-align-justify&quot;&gt;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.&amp;nbsp;&lt;&#x2F;p&gt;&lt;p class=&quot;ql-align-justify&quot;&gt;&amp;nbsp;&lt;&#x2F;p&gt;&lt;p class=&quot;ql-align-justify&quot;&gt;Multimatics is an Authorized Training Partner for the Certified Artificial Intelligence Practitioner™ (CAIP) training and certification program accredited by the CertNexus®.&amp;nbsp;&lt;&#x2F;p&gt;

Certified Artificial Intelligence Practitioner™ (CAIP) certificate is an in-demand, fast-growing training program and certification designed for data practitioners desiring

<ul><li class="ql-align-justify">Identify AI and ML Solutions for Business Problems&nbsp;</li><li class="ql-align-justify">Formulate a Machine Learning Problem&nbsp;</li><li class="ql-align-justify">Select Approaches to Machine Learning&nbsp;</li></ul>

Solving Business Problems Using AI and ML

<ul><li class="ql-align-justify">Collect Data&nbsp;</li><li class="ql-align-justify">Transform Data&nbsp;</li><li class="ql-align-justify">Engineer Features&nbsp;</li><li class="ql-align-justify">Work with Unstructured Data&nbsp;</li></ul>

Preparing Data

<ul><li class="ql-align-justify">Train a Machine Learning Model&nbsp;</li><li class="ql-align-justify">Evaluate and Tune a Machine Learning Model&nbsp;</li></ul>

Training, Evaluating, and Tuning a Machine Learning Model

<ul><li class="ql-align-justify">Build Regression Models Using Linear Algebra&nbsp;</li><li class="ql-align-justify">Build Regularized Linear Regression Models&nbsp;</li><li class="ql-align-justify">Build Iterative Linear Regression Models&nbsp;</li></ul>

Building Linear Regression Models

<ul><li class="ql-align-justify">Build Univariate Time Series Models&nbsp;</li><li class="ql-align-justify">Build Multivariate Time Series Models&nbsp;</li></ul>

Building Forecasting Models

<ul><li class="ql-align-justify">Train Binary Classification Models Using Logistic Regression&nbsp;</li><li class="ql-align-justify">Train Binary Classification Models Using k-Nearest Neighbor&nbsp;</li><li class="ql-align-justify">Train Multi-Class Classification Models&nbsp;</li><li class="ql-align-justify">Evaluate Classification Models&nbsp;</li><li class="ql-align-justify">Tune Classification Models&nbsp;</li></ul>

Building Classification Models Using Logistic Regression and k-Nearest Neighbor

<ul><li class="ql-align-justify">Build k-Means Clustering Models&nbsp;</li><li class="ql-align-justify">Build Hierarchical Clustering Models&nbsp;</li></ul>

Building Clustering Models

<ul><li class="ql-align-justify">Build Decision Tree Models&nbsp;</li><li class="ql-align-justify">Build Random Forest Models&nbsp;</li></ul>

Building Decision Trees and Random Forests

<ul><li class="ql-align-justify">Build SVM Models for Classification&nbsp;</li><li class="ql-align-justify">Build SVM Models for Regression&nbsp;</li></ul>

Building Support-Vector Machines

<ul><li class="ql-align-justify">Build Multi-Layer Perceptrons (MLP)&nbsp;</li><li class="ql-align-justify">Build Convolutional Neural Networks (CNN)&nbsp;</li><li class="ql-align-justify">Build Recurrent Neural Networks (RNN)&nbsp;</li></ul>

Building Artificial Neural Networks

<ul><li class="ql-align-justify">Deploy Machine Learning Models&nbsp;</li><li class="ql-align-justify">Automate the Machine Learning Process with MLOps&nbsp;</li><li class="ql-align-justify">Integrate Models into Machine Learning Systems&nbsp;</li></ul>

Operationalizing Machine Learning Models

<ul><li class="ql-align-justify">Secure Machine Learning Pipelines&nbsp;</li><li class="ql-align-justify">Maintain Models in Production&nbsp;</li></ul>

Certified Artificial Intelligence Practitioner™ (CAIP)

Target Audience

Duration

Method of Delivery

Examination

Program Objectives

Program Modules

Certified Artificial Intelligence Practitioner™ (CAIP)

Target Audience

Duration

Method of Delivery

Examination

Program Objectives

Program Modules

02Preparing Data

03Training, Evaluating, and Tuning a Machine Learning Model

04Building Linear Regression Models

05Building Forecasting Models

06Building Classification Models Using Logistic Regression and k-Nearest Neighbor

07Building Clustering Models

08Building Decision Trees and Random Forests

09Building Support-Vector Machines

10Building Artificial Neural Networks

11Operationalizing Machine Learning Models

12Maintaining Machine Learning Operations