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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

<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>

Examination

Program Objectives

Program Modules

Solving Business Problems Using AI and ML

Preparing Data

Training, Evaluating, and Tuning a Machine Learning Model

Building Linear Regression Models

Building Forecasting Models

Building Classification Models Using Logistic Regression and k-Nearest Neighbor

Building Clustering Models

Building Decision Trees and Random Forests

Building Support-Vector Machines

Building Artificial Neural Networks

Operationalizing Machine Learning Models

Maintaining Machine Learning Operations

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Examination

Program Objectives

Program Modules

Solving Business Problems Using AI and ML

02Preparing Data

Preparing Data

03Training, Evaluating, and Tuning a Machine Learning Model

Training, Evaluating, and Tuning a Machine Learning Model

04Building Linear Regression Models

Building Linear Regression Models

05Building Forecasting Models

Building Forecasting Models

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

Building Classification Models Using Logistic Regression and k-Nearest Neighbor

07Building Clustering Models

Building Clustering Models

08Building Decision Trees and Random Forests

Building Decision Trees and Random Forests

09Building Support-Vector Machines

Building Support-Vector Machines

10Building Artificial Neural Networks

Building Artificial Neural Networks

11Operationalizing Machine Learning Models

Operationalizing Machine Learning Models

12Maintaining Machine Learning Operations

Maintaining Machine Learning Operations

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Professional with Us!