{"id":35231,"date":"2026-07-06T11:26:08","date_gmt":"2026-07-06T08:26:08","guid":{"rendered":"https:\/\/esi.edu.sa\/courses\/%d8%a7%d9%84%d8%b0%d9%83%d8%a7%d8%a1-%d8%a7%d9%84%d8%a7%d8%b5%d8%b7%d9%86%d8%a7%d8%b9%d9%8a-%d9%84%d9%84%d9%86%d9%82%d9%84-%d9%88%d8%a7%d9%84%d9%84%d9%88%d8%ac%d8%b3%d8%aa%d9%8a%d8%a7%d8%aa\/"},"modified":"2026-07-06T14:57:24","modified_gmt":"2026-07-06T11:57:24","slug":"%d8%a7%d9%84%d8%b0%d9%83%d8%a7%d8%a1-%d8%a7%d9%84%d8%a7%d8%b5%d8%b7%d9%86%d8%a7%d8%b9%d9%8a-%d9%84%d9%84%d9%86%d9%82%d9%84-%d9%88%d8%a7%d9%84%d9%84%d9%88%d8%ac%d8%b3%d8%aa%d9%8a%d8%a7%d8%aa","status":"publish","type":"courses","link":"https:\/\/esi.edu.sa\/en\/courses\/%d8%a7%d9%84%d8%b0%d9%83%d8%a7%d8%a1-%d8%a7%d9%84%d8%a7%d8%b5%d8%b7%d9%86%d8%a7%d8%b9%d9%8a-%d9%84%d9%84%d9%86%d9%82%d9%84-%d9%88%d8%a7%d9%84%d9%84%d9%88%d8%ac%d8%b3%d8%aa%d9%8a%d8%a7%d8%aa\/","title":{"rendered":"AI for Transport &amp; Logistics"},"content":{"rendered":"<section class=\"block\">\n<h3 dir=\"ltr\" style=\"text-align: left;\">Programme Overview<\/h3>\n<p dir=\"ltr\" style=\"text-align: left;\">A two-day programme for transport authorities, logistics operators, port and airport professionals and public-transport leaders. It covers how AI is reshaping transport planning, routing, asset management, passenger experience and logistics execution. The hands-on work uses anonymised transport and logistics data and realistic operational scenarios. The content is grounded in the Saudi transport context, including the Kingdom&#8217;s ambition as a logistics hub, the Transport General Authority (TGA), sector regulators and the major infrastructure under construction.<\/p>\n<\/section>\n<section class=\"block\" dir=\"ltr\">\n<h4>Learning Objectives<\/h4>\n<p class=\"lead-line\">By the end of this programme, participants will be able to:<\/p>\n<ul>\n<li>Describe how AI is reshaping transport and logistics across planning, execution, assets and customer experience.<\/li>\n<li>Use AI tools for routing, scheduling, demand forecasting, asset management and operational reporting.<\/li>\n<li>Apply AI to fleet and asset optimisation, passenger flow and logistics-network design.<\/li>\n<li>Evaluate AI-based transport and logistics vendors and platforms for technical fit and sovereignty.<\/li>\n<li>Recognise transport-specific AI risks, including safety, resilience and automation complacency.<\/li>\n<li>Apply the Transport General Authority (TGA), the General Authority of Civil Aviation (GACA), port authorities and SDAIA to AI use in transport and logistics.<\/li>\n<\/ul>\n<\/section>\n<section class=\"block\" dir=\"ltr\">\n<h4>Programme Content &amp; Modules<\/h4>\n<h5 class=\"day-head\">Day 1: The transport landscape and AI in practice<\/h5>\n<div class=\"unit\">\n<div class=\"unit-head\"><span class=\"unit-tag\">Module 1: <\/span>AI in Transport &amp; Logistics<\/div>\n<p>How AI is reshaping transport, logistics, ports, aviation and public transport. Predictive maintenance, demand sensing, dynamic routing and passenger-experience AI. Where AI has matured in the sector and where it is still emerging. The Saudi logistics-hub context and the transport-sector transformation.<\/p>\n<\/div>\n<div class=\"unit\">\n<div class=\"unit-head\"><span class=\"unit-tag\">Module 2: <\/span>AI Tools in Transport &amp; Logistics<\/div>\n<p>Practical work with AI tools for routing, scheduling, demand forecasting, asset monitoring and operational reporting. Prompt engineering for transport accuracy. A tour of AI-enhanced transport-management, fleet-management and logistics platforms.<\/p>\n<\/div>\n<h5 class=\"day-head\">Day 2: AI-supported transport and responsible practice<\/h5>\n<div class=\"unit\">\n<div class=\"unit-head\"><span class=\"unit-tag\">Module 3: <\/span>AI-Supported Planning, Routing &amp; Resilience<\/div>\n<p>Using AI for network design, scenario planning, disruption response and asset optimisation. Combining AI output with operational judgement. A group exercise on a realistic transport or logistics scenario supported by AI.<\/p>\n<\/div>\n<div class=\"unit\">\n<div class=\"unit-head\"><span class=\"unit-tag\">Module 4: <\/span>Responsible AI in Transport &amp; Logistics<\/div>\n<p>Safety-critical AI and the limits of automation in transport. Governance of transport and passenger data. PDPL, TGA, GACA and port-authority considerations. SDAIA&#8217;s AI Ethics Principles in a transport context. Data-sovereignty and infrastructure considerations for critical logistics. Applied capstone project: each participant designs an AI-adoption plan for one transport or logistics operation.<\/p>\n<\/div>\n<\/section>\n<section class=\"block\" dir=\"ltr\">\n<h4>Suggested Duration<\/h4>\n<p>Two training days.<\/p>\n<\/section>\n<section class=\"block aud\" dir=\"ltr\">\n<h4 style=\"text-align: left;\">Target Audience &amp; Prerequisites<\/h4>\n<p style=\"text-align: left;\"><strong>Target audience:<\/strong>\u00a0Transport planners, logistics managers, fleet operators, port and airport managers, rail and metro operations leaders, public-transport planners, freight and last-mile leaders and senior staff in transport authorities, airlines, ports, rail operators and logistics companies.<\/p>\n<p style=\"text-align: left;\"><strong>Prerequisites:<\/strong>\u00a0Practical experience in transport or logistics. Basic computer literacy. No prior background in AI or programming is required. A laptop is required for the hands-on sessions.<\/p>\n<\/section>\n","protected":false},"author":2043,"featured_media":35331,"template":"","course_category":[1370,945],"class_list":["post-35231","courses","type-courses","status-publish","has-post-thumbnail","hentry","course_category-sectoral","course_category-ai","infinite-scroll-item","no-featured-image-padding"],"acf":[],"_links":{"self":[{"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/courses\/35231","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/courses"}],"about":[{"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/types\/courses"}],"author":[{"embeddable":true,"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/users\/2043"}],"version-history":[{"count":2,"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/courses\/35231\/revisions"}],"predecessor-version":[{"id":35352,"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/courses\/35231\/revisions\/35352"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/media\/35331"}],"wp:attachment":[{"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/media?parent=35231"}],"wp:term":[{"taxonomy":"course_category","embeddable":true,"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/course_category?post=35231"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}