Search for a Glomacs Course by Keywords

Course Schedule
Classroom Sessions:
Date Venue Fees
01 - 05 Sep 2024 Riyadh - Saudi Arabia $5,950
04 - 08 Nov 2024 Dubai - UAE $5,950
Course Description


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 training course will highlight:

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


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

Training Methodology

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.

Organisational Impact

The Principles and Practices of Artificial Intelligence training course is designed to have a significant organizational impact by equipping participants with the knowledge and skills necessary to leverage AI effectively.

The Organisation will have the following benefits;

  • Improved Problem-solving and Innovation: Participants will develop advanced problem-solving skills and innovative thinking abilities through practical application of AI techniques.
  • Enhanced Decision-making: By understanding the principles of AI and its practical applications, participants will be better equipped to make data-driven decisions that drive business success.
  • Increased Efficiency and Productivity: Implementation of AI techniques learned in the training course can lead to increased efficiency and productivity across various organizational functions.
  • Competitive Advantage: Organizations that embrace AI and invest in training their workforce gain a competitive edge in the market.
  • Risk Mitigation and Compliance: Participants will gain an understanding of ethical considerations and responsible AI practices, helping organizations mitigate risks associated with biased algorithms, data privacy concerns, and regulatory compliance issues.
  • Talent Retention and Recruitment: Offering AI training demonstrates an organization's commitment to employee development and upskilling, leading to higher employee satisfaction and retention.
  • Innovation Culture: The training course fosters an innovation-driven culture within the organization by empowering employees to explore new AI technologies and experiment with novel solutions to business challenges.

Personal Impact

The Principles and Practices of Artificial Intelligence training course offers significant personal impacts for participants, empowering them to thrive in the rapidly evolving field of AI.

At the end of this training course, the participants will gain the following;

  • Expanded Skill Set: Participants will acquire in-depth knowledge and practical skills in AI principles and techniques, enhancing their professional capabilities and making them more competitive in the job market.
  • Career Advancement Opportunities: With AI expertise, participants can pursue new career opportunities in AI research, development, engineering, or related fields
  • Increased Confidence: Through hands-on projects and practical application of AI techniques, participants will gain confidence in their ability to tackle complex AI challenges and deliver impactful solutions.
  • Professional Networking: Engaging with peers and instructors in collaborative learning environments fosters valuable professional connections and networking opportunities, enabling participants to exchange ideas, share best practices, and establish contacts within the AI community.
  • Continuous Learning and Growth: The course encourages a mindset of lifelong learning, empowering participants to stay updated on the latest advancements in AI and continuously enhance their skills to remain competitive in the fast-paced tech industry.
  • Ethical Awareness and Responsibility: Participants will develop a deep understanding of ethical considerations in AI, enabling them to contribute to the development of responsible AI systems that align with societal values and mitigate potential risks and biases.
  • Personal Fulfillment: Mastering AI principles and practices can be intellectually stimulating and personally rewarding, providing participants with a sense of fulfillment and accomplishment as they contribute to cutting-edge advancements in technology.
  • Adaptability and Resilience: Equipped with a strong foundation in AI principles, participants will be better prepared to adapt to technological changes and navigate uncertainties in their professional careers, fostering resilience and agility in the face of evolving industry landscapes.


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 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
Course Outline


Introduction to AI Fundamentals

  • 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


Machine Learning Algorithms

  • 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


Neural Networks and Deep Learning

  • 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


Advanced Topics in AI

  • 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


Ethical Considerations and Practical Applications

  • 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
  • On successful completion of this training course, GLOMACS Certificate will be awarded to the delegates
  • Continuing Professional Education credits (CPE) : In accordance with the standards of the National Registry of CPE Sponsor, one CPE credit is granted per 50 minutes of attendance
Providers and Associations

Endorsed Education Provider

  • Quality Logo

GLOMACS is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy 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:

Options & Brochure
Related Categories

GLOMACS Training & Consultancy
Typically replies within an hour

Hi there 👋
My name is Olivia. Please tell me how I can assist you..