Specialized Training Center | Certified Artificial Intelligence Practitioner

Introduction

Artificial intelligence (AI) and machine learning (ML) have become essential parts 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 Certified Artificial Intelligence Practitioner (CAIP) training course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions.

Goals

TRAINING OBJECTIVES

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.

Target Groups

The skills covered in this Certified Artificial Intelligence Practitioner training course converge on four areas—software development, IT operations, applied math and statistics, and business analysis. Target participants for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems.

So, the target participant is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decision-making products that bring value to the business.

A typical participant in this course should have several years of experience with computing technology, including some aptitude in computer programming.

Program Content

Day 1

Solving Business Problems Using AI and ML

Identify AI and ML Solutions for Business Problems.
Formulate a Machine Learning Problem.
Select Approaches to Machine Learning.

Preparing Data

Collect Data.
Transform Data.
Engineer Features.
Work with Unstructured Data.

Day 2

Training, Evaluating, and Tuning a Machine Learning Model

Train a Machine Learning Model.
Evaluate and Tune a Machine Learning Model.

Building Linear Regression Models

Build Regression Models Using Linear Algebra.
Build Regularized Linear Regression Models.
Build Iterative Linear Regression Models.

Building Forecasting Models

Build Univariate Time Series Models.
Build Multivariate Time Series Models.

Day 3

Building Classification Models Using Logistic Regression and k-Nearest Neighbor

Train Binary Classification Models Using Logistic Regression.
Train Binary Classification Models Using k-Nearest Neighbor.
Train Multi-Class Classification Models.
Evaluate Classification Models.
Tune Classification Models.

Building Clustering Models

Build k-Means Clustering Models.
Build Hierarchical Clustering Models.

Building Decision Trees and Random Forests

Build Decision Tree Models.
Build Random Forest Models.

Day 4

Building Support-Vector Machines

Build SVM Models for Classification.
Build SVM Models for Regression.

Building Artificial Neural Networks

Build Multi-Layer Perceptrons (MLP).
Build Convolutional Neural Networks (CNN).
Build Recurrent Neural Networks (RNN).

Day 5

Operationalizing Machine Learning Models

Deploy Machine Learning Models.
Automate the Machine Learning Process with MLOps.
Integrate Models into Machine Learning Systems.

Maintaining Machine Learning Operations

Secure Machine Learning Pipelines.
Maintain Models in Production.

Code	Date of meeting	Place	Course Price
IMCS7	14 - 18 July 2024	Online training	$3,900	Register
IMCS7	14 - 18 July 2024	Dubai-Emirates	$3,900	Register

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Certified Artificial Intelligence Practitioner

Introduction

Goals

Target Groups

Program Content

Categories