A CertNexus Certification Training Course

Certified Artificial Intelligence Practitioner (CAIP)

Certified Artificial Intelligence Practitioner (CAIP)
2025
Venue
Date
Fee
Dubai - UAE
22-26 Dec 2025
$6,950
2026
Venue
Date
Fee
Dubai - UAE
11-15 May 2026
$6,950
Online
11-15 May 2026
$5,950
Online
29 Jun-03 Jul 2026
$5,950
London - UK
29 Jun-03 Jul 2026
$6,950
London - UK
28 Sep-02 Oct 2026
$6,950
Dubai - UAE
21-25 Dec 2026
$6,950

Course Overview

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 GLOMACS 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.

Training Outline

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
Certificates
Accreditation

Providers and Associations

KC Academy
PetroKnowledge
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About GLOMACS

About Saudi Glomacs

At Saudi GLOMACS, we specialize in delivering world-class training courses in Saudi Arabia and across various international locations. Our training courses are tailored to meet the unique demands of Saudi Vision 2030 and the Human Capability Development Program, focusing on empowering Saudi citizens and enhancing workforce skills. We offer diverse courses spanning leadership, management, engineering, and technical disciplines to cultivate expertise and drive professional growth. Our flexible learning options—whether in-person, online, or in-house—ensure accessibility and convenience for individuals and organizations alike.

With over 30+ years of experience through the GLOMACS global network, we are committed to delivering innovative, results-driven training solutions. Our expert instructors combine industry knowledge with dynamic teaching methods, fostering practical skill development and long-term career success. By choosing Saudi GLOMACS, you're investing in personal excellence and contributing to the Kingdom’s sustainable economic growth and vision-driven transformation.

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