{"id":14179,"date":"2025-08-19T03:37:41","date_gmt":"2025-08-19T00:37:41","guid":{"rendered":"https:\/\/mada.edu.sa\/?post_type=course&#038;p=14179"},"modified":"2026-04-23T17:51:33","modified_gmt":"2026-04-23T14:51:33","slug":"artificial-intelligence-3","status":"publish","type":"course","link":"https:\/\/mada.edu.sa\/en\/course\/artificial-intelligence-3\/","title":{"rendered":"Artificial Intelligence (AI) Course"},"content":{"rendered":"<p>The <strong>Artificial Intelligence (AI)<\/strong> course is an advanced theoretical training program designed to establish a comprehensive understanding of AI concepts and their growing impact on professional, industrial, and social environments. This course focuses on the fundamental principles underpinning AI\u2014such as Machine Learning, neural networks, natural language processing (NLP), and big data analysis\u2014without requiring programming knowledge or direct technical applications.<\/p>\n<p>The content is presented entirely from a theoretical perspective, making it ideal for managers, administrators, team leaders, decision-makers, and non-technical professionals who wish to understand how AI is radically transforming institutional operations. The course covers the historical evolution of AI, its classifications (such as Narrow vs. General AI), and its applications across various sectors including services, manufacturing, healthcare, and e-commerce. It also highlights ethical considerations, privacy challenges, and the role of AI in supporting digital transformation and strategic decision-making.<\/p>\n<h2>General Objective<\/h2>\n<p>The program aims to empower participants with a deep theoretical understanding of the conceptual and applied framework of AI, focusing on its deployment to improve efficiency, support innovation, and enhance institutional performance. It seeks to build the trainees&#8217; ability to analyze the impact of AI on operational processes, distinguish between different technologies (Machine Learning, Deep Learning, Robotics), and separate realistic applications from technological myths. The program emphasizes adaptation to digital transformation, leadership&#8217;s role in adopting smart technologies, and ensuring responsible AI use.<\/p>\n<h2>Detailed Objectives<\/h2>\n<ul>\n<li>Understand core AI concepts and its significance in the digital age.<\/li>\n<li>Identify AI types: Classificatory, Predictive, and Interactive.<\/li>\n<li>Recognize AI applications across various industrial and service sectors.<\/li>\n<li>Learn how to analyze the benefits and risks associated with AI adoption.<\/li>\n<li>Understand the future role of AI in supporting strategic decision-making.<\/li>\n<\/ul>\n<h2>Course Pillars<\/h2>\n<h3>Day 1: Introduction to Artificial Intelligence<\/h3>\n<ul>\n<li>Defining AI and its importance in digital transformation.<\/li>\n<li>Historical evolution: From simple algorithms to intelligent systems.<\/li>\n<li>The distinction between Artificial Intelligence, Machine Learning, and Deep Learning.<\/li>\n<li>Examples of AI usage in everyday life.<\/li>\n<\/ul>\n<h3>Day 2: AI Components and Operational Mechanisms<\/h3>\n<ul>\n<li>The concept of Data as the foundation of AI.<\/li>\n<li>The role of algorithms in pattern analysis and decision-making.<\/li>\n<li>Artificial Neural Networks and the simulation of the human brain.<\/li>\n<li>The importance of data quality and its impact on the accuracy of results.<\/li>\n<\/ul>\n<h3>Day 3: Institutional Applications of AI<\/h3>\n<ul>\n<li>AI in customer service (Robotics, Chatbots).<\/li>\n<li>Usage in demand forecasting, inventory analysis, and supply chain management.<\/li>\n<li>AI in Human Resources: Recruitment, evaluation, and training.<\/li>\n<li>AI tools for performance analysis and executive decision support.<\/li>\n<\/ul>\n<h3>Day 4: Challenges and Ethical Considerations<\/h3>\n<ul>\n<li>Privacy issues and personal data protection.<\/li>\n<li>Algorithmic bias and its impact on fairness and equity.<\/li>\n<li>Concerns over job displacement and the impact of automation on the workforce.<\/li>\n<li>The importance of regulatory frameworks and responsibility in AI usage.<\/li>\n<\/ul>\n<h3>Day 5: The Future of AI in the Workplace<\/h3>\n<ul>\n<li>Human-machine integration in the work environment.<\/li>\n<li>Generative AI (e.g., Large Language Models &#8211; LLMs).<\/li>\n<li>The role of leadership in strategic AI adoption.<\/li>\n<li>The shift toward Smart Enterprises and Organizational Intelligence.<\/li>\n<\/ul>\n<p>[Image explaining the concept of Generative AI and how Large Language Models function]<\/p>\n<hr \/>\n<h2>Conclusion and Strategic Impact<\/h2>\n<p>The <strong>Artificial Intelligence Course<\/strong> is a pivotal element in building strategic awareness of emerging technologies. In an era where technological change is accelerating across all business facets, this course is vital for leaders and planners in business, education, healthcare, and government sectors. It enhances the ability to understand AI&#8217;s potential, make informed adoption decisions, and build policies that balance innovation with responsibility.<\/p>\n<p>In a work environment where technology is central to success, understanding AI is critical for ensuring adaptation, innovation, and competitiveness. This course provides advanced theoretical knowledge that enables participants to think proactively about the future of work, supporting the development of leaders capable of guiding their organizations through the AI era with confidence, vision, and accountability.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Artificial Intelligence (AI) course is an advanced theoretical training program designed to establish a comprehensive understanding of AI concepts and their growing impact on professional, industrial, and social environments. This course focuses on the fundamental principles underpinning AI\u2014such as Machine Learning, neural networks, natural language processing (NLP), and big data analysis\u2014without requiring programming knowledge &#8230; <a title=\"Artificial Intelligence (AI) Course\" class=\"read-more\" href=\"https:\/\/mada.edu.sa\/en\/course\/artificial-intelligence-3\/\" aria-label=\"Read more about Artificial Intelligence (AI) Course\">\u0625\u0642\u0631\u0623 \u0627\u0644\u0645\u0632\u064a\u062f<\/a><\/p>\n","protected":false},"author":146,"featured_media":15377,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"course_category":[150],"class_list":["post-14179","course","type-course","status-publish","has-post-thumbnail","hentry","course_category-artificial-intelligence","no-featured-image-padding"],"acf":[],"_links":{"self":[{"href":"https:\/\/mada.edu.sa\/en\/wp-json\/wp\/v2\/course\/14179","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mada.edu.sa\/en\/wp-json\/wp\/v2\/course"}],"about":[{"href":"https:\/\/mada.edu.sa\/en\/wp-json\/wp\/v2\/types\/course"}],"author":[{"embeddable":true,"href":"https:\/\/mada.edu.sa\/en\/wp-json\/wp\/v2\/users\/146"}],"replies":[{"embeddable":true,"href":"https:\/\/mada.edu.sa\/en\/wp-json\/wp\/v2\/comments?post=14179"}],"version-history":[{"count":2,"href":"https:\/\/mada.edu.sa\/en\/wp-json\/wp\/v2\/course\/14179\/revisions"}],"predecessor-version":[{"id":14188,"href":"https:\/\/mada.edu.sa\/en\/wp-json\/wp\/v2\/course\/14179\/revisions\/14188"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mada.edu.sa\/en\/wp-json\/wp\/v2\/media\/15377"}],"wp:attachment":[{"href":"https:\/\/mada.edu.sa\/en\/wp-json\/wp\/v2\/media?parent=14179"}],"wp:term":[{"taxonomy":"course_category","embeddable":true,"href":"https:\/\/mada.edu.sa\/en\/wp-json\/wp\/v2\/course_category?post=14179"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}