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Principles and Practices of Artificial Intelligence (AI)

Mastering AI: From Theory to Implementation

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Course Schedule

10-14 Nov 2025

Dubai

$5,950

29 Dec 2025-02 Jan 2026

Amsterdam

$5,950

22-26 Jun 2026

Dubai

$5,950

27-31 Jul 2026

Dubai

$5,950

07-11 Sep 2026

Riyadh

$5,950

09-13 Nov 2026

Dubai

$5,950

28 Dec 2026-01 Jan 2027

Amsterdam

$5,950

Course Overview

In this dynamic and cutting-edge training course, we embark on a journey to explore the fundamental principles and innovative practices that underpin the realm of artificial intelligence (AI). As AI continues to revolutionize industries and redefine the way we interact with technology, it's essential to grasp the foundational concepts that drive its development and deployment. Throughout this training course, we will delve into the core principles of machine learning, neural networks, natural language processing, computer vision, and more. By combining theoretical understanding with hands-on application, you will gain the knowledge and skills necessary to navigate the intricate landscape of AI confidently. Whether you're a seasoned professional looking to expand your expertise or an aspiring enthusiast eager to delve into the world of AI, this training course offers a comprehensive exploration that will empower you to harness the potential of artificial intelligence effectively. Join us as we unlock the secrets of AI and pave the way for a future shaped by innovation and intelligence.

This GLOMACS Principles and Practices of Artificial Intelligence (AI) training course will highlight:

Foundational Principles
Machine Learning Algorithms
Neural Networks and Deep Learning
Ethical Considerations
Practical Applications
Future Trends and Innovations
Interdisciplinary Perspectives

What are the Goals?

The Principles and Practices of Artificial Intelligence training course aims to equip participants with a comprehensive understanding of AI fundamentals and practical skills necessary for real-world applications. Through this training course, participants will learn to apply AI techniques across various domains, understand ethical considerations, and stay updated on the latest advancements. By completing hands-on projects and collaborating with peers, participants will develop critical thinking, problem-solving, and communication skills essential for success in AI-related roles. Ultimately, the training course seeks to prepare participants for career advancement and empower them to make meaningful contributions to the field of artificial intelligence.

At the end of this training course, you will learn to:

Understand Fundamental Concepts
Master Practical Skills
Apply AI Techniques
Explore Advanced Topics
Ethical and Responsible AI
Collaborate and Communicate
Critical Thinking and Problem-Solving
Prepare for Career Advancement

Who is this Training Course for?

The training course is tailored for a diverse range of professionals who seek to deepen their understanding of AI principles and applications.

This GLOMACS Principles and Practices of Artificial Intelligence (AI) training course is suitable to a wide range of professionals but will greatly benefit:

Software Engineers and Developers
Data Scientists and Analysts
Business Leaders and Managers
Researchers and Academics
Entrepreneurs and Start-up Founders
Professionals in Non-Technical Roles
Anyone with a Curiosity for AI

How will this Training Course be Presented?

The Principles and Practices of Artificial Intelligence training course adopts a dynamic and immersive training methodology designed to facilitate effective learning and skill development. This methodology includes a blend of theoretical lectures, hands-on workshops, collaborative projects, and interactive discussions. Participants will engage with training course material through a combination of lectures delivered by expert instructors, supplemented by practical demonstrations and tutorials that reinforce key concepts. Hands-on workshops and projects provide opportunities for participants to apply theoretical knowledge to real-world scenarios, fostering a deeper understanding of AI techniques and their practical applications. Collaborative learning activities encourage peer-to-peer interaction, enabling participants to share insights, discuss challenges, and learn from each other's experiences. Additionally, the training methodology emphasizes continuous assessment and feedback to track progress and ensure that participants are effectively mastering course objectives. By leveraging this comprehensive and interactive approach, the training course aims to empower participants with the knowledge, skills, and confidence needed to excel in the field of artificial intelligence.

Course Outline

Day 1

Definition of AI
Historical overview
AI applications across industries
Basic concepts of machine learning
Supervised, unsupervised, and reinforcement learning
Examples of machine learning applications
Basics of Python programming language
Introduction to libraries such as NumPy, Pandas, and Matplotlib for data manipulation and visualization

Day 2

Theory behind linear regression
Implementation of linear regression for prediction tasks
Logistic regression for classification tasks
Introduction to decision trees
Ensemble methods: Random Forests
Practical examples and applications
Hands-on exercises implementing linear regression, logistic regression, decision trees, and random forests using Python libraries

Day 3

Basics of neural networks architecture
Activation functions, layers, and optimization algorithms
Feedforward and backpropagation algorithms
Convolutional Neural Networks (CNNs) for image recognition
Recurrent Neural Networks (RNNs) for sequential data
Transfer learning and pre-trained models
Building and training neural networks for image classification and sequence prediction tasks using TensorFlow or PyTorch

Day 4

Introduction to reinforcement learning concepts
Q-learning, policy gradients, and deep reinforcement learning
Applications of reinforcement learning in robotics, gaming, and autonomous systems
Basics of NLP techniques
Text preprocessing, tokenization, and feature extraction
Applications of NLP in sentiment analysis, language translation, and chatbots
Implementing reinforcement learning algorithms and NLP techniques on practical examples

Day 5

Bias and fairness in AI
Ethical guidelines and frameworks
Responsible AI practices
Case studies and examples of AI implementation in various industries
Challenges and opportunities in deploying AI solutions
Participants present their capstone projects, showcasing their understanding and application of AI principles and techniques
Open discussion and feedback session

Accreditation

GLOMACS is registered with NASBA as a sponsor of Continuing Professional Education (CPE) on the National Registry of CPE Sponsors. NASBA have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.learningmarket.org.

All Training Seminars delivered by GLOMACS by default are eligible for CPE Credit.

Would you like to take this course as a team?

Frequently Asked Questions

What types of training courses does AI Academy offer?

AI Academy offers a wide range of specialized training courses focused on Artificial Intelligence and emerging technologies. Our courses cover areas such as Machine Learning, Data Science, AI in Business Strategy, Digital Transformation, and Automation, designed to help professionals enhance their technical and strategic capabilities.

Who can enroll in AI Academy training courses?

Our courses are open to professionals at all career levels — from beginners seeking to understand AI fundamentals to senior executives aiming to integrate AI into organizational strategy. Each course clearly outlines the ideal participant profile to help you choose the best fit for your goals.

How can I register for a training course?

You can easily register through our website by selecting your preferred course and completing the online registration form. Once your registration is confirmed, you’ll receive a confirmation email with course details, venue or online access information, and next steps.

Are AI Academy courses available online or in person?

Yes. AI Academy offers both online and classroom-based courses to provide flexibility and convenience. The mode of delivery depends on the specific course and its learning objectives, ensuring participants receive an engaging and effective learning experience.

Will I receive a certificate after completing a training course?

Yes. Upon successful completion of any AI Academy training course, participants receive an official Certificate of Completion, recognizing their professional development and newly acquired AI competencies.

How can I determine which AI course is right for me?

Each course description on our website includes detailed information about the learning outcomes, target audience, and objectives. You can also contact our support team for personalized guidance on selecting a course that aligns with your experience level and career ambitions.

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