BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Opus Kinetic - ECPv6.15.12.2//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL:https://www.opuskinetic.com X-WR-CALDESC:Events for Opus Kinetic REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Asia/Singapore BEGIN:STANDARD TZOFFSETFROM:+0800 TZOFFSETTO:+0800 TZNAME:+08 DTSTART:20250101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;VALUE=DATE:20260622 DTEND;VALUE=DATE:20260624 DTSTAMP:20260430T072749 CREATED:20260224T065731Z LAST-MODIFIED:20260224T065914Z UID:10002405-1782086400-1782259199@www.opuskinetic.com SUMMARY:AI for Engineers\, Decision Makers and Operators in Rail DESCRIPTION:Why Choose this Training Course\nThis AI in Rail training course provides a strategic and technical deep dive into the integration of artificial intelligence within modern railway engineering. Designed to bridge the gap between data science and rail operations\, the curriculum begins with the fundamentals of machine learning and data governance\, specifically tailored to the complexities of railway datasets. Participants will explore how AI-driven decision support systems revolutionize traffic management\, scheduling\, and logistics\, moving beyond theory into practical applications that enhance network efficiency and support net-zero energy goals. \nA significant portion of the AI in Rail training is dedicated to the high-stakes environment of Safety and Governance. You will engage with critical regulatory frameworks\, such as ISO/IEC TR 5469:2024\, and master risk management tools like CyRail for cybersecurity modeling. The syllabus also prioritizes hands-on experience in Predictive Maintenance and Condition Monitoring\, featuring workshops on building failure-pattern models for rolling stock and infrastructure. \nAs the industry evolves\, the AI in Rail training addresses cutting-edge developments in Large Language Models (LLMs)\, demonstrating how tools like RAPORS can streamline safety case generation and compliance with standards like EN50126. The journey concludes by equipping you with the organizational strategy needed to lead AI adoption\, aligning workforce skills with the AI Skills for Business Competency Framework. Through a blend of simulation-based case studies (including OLESense and derailment prevention) and strategic roadmap development\, this course ensures you are ready to implement resilient\, ethical\, and highly efficient AI solutions in the rail sector. \nWe are also a proud member of the Energy Institute of UK. \nWho Should Attend\n\nRailway Systems Engineer\nAsset Management Engineer\nRolling Stock / Fleet Engineer\nSignal & Telecommunications (S&T) Engineer\nRail Operations Manager\nNetwork & Timetable Planner\nFreight & Logistics Coordinator\nControl Center Duty Manager\nSystem Assurance & Safety Case Engineer\nCybersecurity Specialist (Rail)\nRegulatory Compliance Manager\nAI Ethics & Governance Officer\nChief Technology Officer (CTO)\nHead of Digital Transformation\nData Scientist / Data Analyst\nAI Product Manager\nInnovation Lead (Transport)\nMaintenance Strategy Manager\n\nKey Learning Objectives\n\nGrasp the core mechanics of supervised\, unsupervised\, and reinforcement learning tailored to the unique data quality and governance needs of the railway sector.\nEvaluate AI-driven decision support systems to enhance real-time scheduling\, demand forecasting\, and network efficiency for both passenger and freight operations.\nDevelop anomaly detection models and condition monitoring systems to transition rolling stock and infrastructure from reactive to predictive maintenance.\nNavigate critical regulatory frameworks\, including ISO/IEC TR 5469:2024 and EN50126\, while modeling cybersecurity risks using tools like CyRail.\nUtilize Large Language Models (LLMs) and autonomous monitoring tools like OLESense to automate safety documentation\, gap analysis\, and infrastructure inspection.\nDesign robust AI business cases and project roadmaps aligned with the AI Skills for Business Competency Framework to lead organizational transformation and sustainability.\n\nEnquiry Form\n\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/ai-for-engineers-decision-makers-and-operators-in-rail/ LOCATION:Singapore\, Singapore CATEGORIES:AI & Machine Learning,Big Data, AI & Cybersecurity ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2026/02/AI-for-Rail-fi1-scaled.png ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:1.352083;103.819836 END:VEVENT END:VCALENDAR