BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Opus Kinetic - ECPv6.15.12.2//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Opus Kinetic 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:20260511 DTEND;VALUE=DATE:20260515 DTSTAMP:20260509T203106 CREATED:20240807T072507Z LAST-MODIFIED:20260309T032018Z UID:10002422-1778490000-1778778000@www.opuskinetic.com SUMMARY:Practical Data Science and Machine Learning for Oil & Gas Professionals DESCRIPTION:Why Choose this Training Course\nThis highly practical data science training course is designed to equip Oil & Gas professionals with a thorough introduction to essential machinlearning methods and a solid hands-on experience in data science and machine learning applications. \nThroughout this data science training\, participants will acquire comprehensive knowledge and develop practical skills necessary for integrating data science and machine learning into their daily work. By mastering these techniques\, participants will improve efficiency and effectiveness in both current and future projects\, ultimately leading to significant improvements in overall performance and substantial value creation for their companies. \nWho Should Attend\nGeologists\, petrophysicists\, reservoir engineers\, production engineers\, drilling engineers and other Oil & Gas professionals keen to obtain a fundamental understanding and practical skills in Machine Learning and Data Science. \nPrerequisite: \n\nParticipants should have strong upstream domain knowledge and at least 5 years of experience.\nPrior programming experience (Python) is an advantage. Recommended pre-reading material on Python can be provided upon request.\n\nKey Learning Objectives\n\nComprehensive Introduction: Gain a foundational understanding of both supervised and unsupervised learning algorithms\, including advanced topics such as deep learning and model explainability.\nHands-On Experience: Build practical skills through detailed\, step-by-step guidance on applying various machine learning methods to real-world Oil & Gas problems.\nConfidence Building: Start with simple\, clear explanations of each method\, gradually progressing to more complex applications and techniques.\nCapability enhancement: Learn how to implement the knowledge gained\, using carefully crafted code examples that can be directly applied to ongoing and future projects\, enhancing overall performance.\nBusiness impact assessment: Develop the ability to identify actual Oil & Gas industry challenges and solve them\neffectively by leveraging Machine Learning and Data Science methods.\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/data-science-training-2/2026-05-11/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Geology,Reservoir Engineering ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2021/11/machine-learning-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260622 DTEND;VALUE=DATE:20260624 DTSTAMP:20260509T203106 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 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 BEGIN:VEVENT DTSTART;VALUE=DATE:20260622 DTEND;VALUE=DATE:20260624 DTSTAMP:20260509T203106 CREATED:20250611T053013Z LAST-MODIFIED:20260107T050230Z UID:10002352-1782118800-1782234000@www.opuskinetic.com SUMMARY:Safety Critical Software in Rail (SCSR) DESCRIPTION:Why Choose this Training Course\nThis SCSR training course provides software developers\, engineers\, testers\, managers and others involved in safety-related projects with a detailed understanding of the fundamentals of safety critical software development and testing. This SCSR training course is supported by a competency-based structure. The opening module provides background to software lifecycle and\nthe standards and their application in the railway drawing upon best practice. The next modules introduce a number of incidents where software failures resulted in incidents. The next modules go into depth regarding the content\, aims and requirements for developing software for the railway in accordance with EN50128 for all SIL levels. \nThe course content is mapped to: \n\nIndustry standard competencies\, skills and evidence requirements relevant to rail safety work (see our website for details)\nIndustry regulations\nNational and international standards\nInformation is interspersed with practical exercises. There is a short multiple-choice examination at the end to assess the identified learning outcomes\n\nWho Should Attend\n\nProject Application Engineer\nSystems Assurance Engineer\nRisk Specialist\nSafety Assurance Manager\nProject Engineer\nSenior Risk Advisor\nSoftware Engineer\nSystems Engineer\nProject Manager\nSoftware Developer\nValidation Engineer\n\nKey Learning Objectives\n\nDEMONSTRATE a sound understanding of the principles and language of Safety Critical Software\nAPPRECIATE software risk in the context of railway design and safety management\nDESCRIBE how software design and the software safety lifecycle interact and influence each other\nAPPRECIATE how current best practice in software safety standards and in particular latest EN50128 and EN50567\nUNDERSTAND the complexity of railway accidents involving software failur\nUNDERSTAND the need for a risk-based system engineering lifecycle approach to enable built-in safety\, value and performance\nIDENTIFY and mitigate Security issues from Cyber Threats\n\nEnquiry Form\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/safety-critical-software-in-rail-scsr-training/2026-06-22/ LOCATION:Singapore\, Singapore CATEGORIES:Big Data, AI & Cybersecurity,Logistics and Supply Chain ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2025/06/scsr-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:1.352083;103.819836 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260624 DTEND;VALUE=DATE:20260626 DTSTAMP:20260509T203106 CREATED:20251221T094521Z LAST-MODIFIED:20260224T064919Z UID:10002404-1782291600-1782406800@www.opuskinetic.com SUMMARY:Railway Operational Technology Cybersecurity and Safety Critical System DESCRIPTION:Why Choose this Training Course\nThe first part of this comprehensive training course focuses on the emerging railway-specific cybersecurity standard IEC 63452 (based on TS 50701)\, alongside established best practices from operational and information technology cybersecurity frameworks such as IEC 62443 and ISO/IEC 27001. Delegates will be introduced to foundational cybersecurity concepts\,\nenabling them to assess risks\, apply countermeasures\, strengthen defences\, and reduce system vulnerabilities. Practical guidance is provided on managing cybersecurity risks throughout the lifecycle of railway assets and systems. \nThe second part of the course addresses safety-critical systems in railways\, which are essential for the successful deployment of modern technologies such as ERTMS. Emphasis is placed on the application of safety standards including: \n\nEN 50126 – for lifecycle-based reliability\, availability\, maintainability\, and safety (RAMS)\nEN 50129 – for developing and assessing safety cases for safety-related electronic systems\nEN 50716 – the new standard focused on developing safety critical software\n\nTogether\, these standards provide the necessary structure for integrating safety and cybersecurity into complex railway systems\, ensuring compliance\, assurance\, and resilience in the face of evolving threats. The course content is mapped to recognised industry competencies\, evidence frameworks for railway safety roles\, and relevant international and national standards. \nWe are also a proud member of the Energy Institute of UK. \nWho Should Attend\n\nRailway Business Leaders and Managers\nRailway Inspectors and Legislators\nRailway Safety Assessors\nSafety Professionals and Planners\nIT Professionals and Resilience Specialists\nRailway Engineers\n\nKey Learning Objectives\n\nComprehend the critical landscape of cybersecurity within railway systems\, including the unique challenges and the\nimportance of integrating cybersecurity throughout the railway application lifecycle\nAnalyse and apply key international and railway-specific cybersecurity standards and frameworks\, specifically IEC\n63452\, IEC 62443\, and ISO/IEC 27001\, to identify risks and implement effective countermeasures in operational and\ninformation technology environments\nConduct detailed risk assessments and define cybersecurity requirements for railway assets and systems\, including\nconsiderations for legacy infrastructure and the development of secure new devices\nUnderstand and apply the principles of EN 50126 for the specification and demonstration of Reliability\, Availability\,\nMaintainability\, and Safety (RAMS) in railway applications\nApply the requirements of EN 50129 for developing and assessing safety cases for safety-related electronic\nsystems and EN 50716 for safety-critical software development\nIntegrate cybersecurity requirements within the railway safety (RAMS) framework to ensure holistic system compliance\,\nassurance\, and resilience\n\nEnquiry Form\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/railway-operational-technology-cybersecurity-and-safety-critical-system/2026-06-24/ LOCATION:Singapore\, Singapore CATEGORIES:Big Data, AI & Cybersecurity,Cybersecurity & OT Security ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2025/12/railway-OT-fi1-scaled.png ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:1.352083;103.819836 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260625 DTEND;VALUE=DATE:20260627 DTSTAMP:20260509T203106 CREATED:20260130T042927Z LAST-MODIFIED:20260305T051738Z UID:10002362-1782345600-1782518399@www.opuskinetic.com SUMMARY:Cybersecurity for Power & Energy Control Systems (OT/ICS) DESCRIPTION:Why Choose this Training Course\nThis OT cybersecurity training for power and energy is designed to build a shared technical and organisational understanding of cybersecurity exposure across the energy value chain. Rather than focusing on compliance or certification\, the course addresses the practical realities of OT systems\, power architectures\, and cross-functional decision-making. \nThis OT cybersecurity training for power and energy training is ideal for leaders and practitioners who need to: \n\nUnderstand where cyber risks originate in power and energy systems\nAlign engineering\, operations\, IT\, and management on a common cybersecurity language\nEstablish a strong foundation before moving into formal risk assessments or standards-based training\n\nThis OT cybersecurity training for power and energy training reflects a growing recognition across the region: effective OT cybersecurity starts with system context\, not checklists. \n\nDesigned for the power & energy sector\nExecutive-friendly\, practitioner-grounded\nCan be delivered as a standalone session or as a foundation for advanced OT cybersecurity programmes\n\nThis OT cybersecurity training for power and energy training is designed as a focused cybersecurity awareness and system context course for the power and energy sector. The course introduces foundational cybersecurity concepts\, industrial control system architectures\, and sector specific challenges relevant to asset owners\, system integrators\, and product suppliers operating in power and energy environments. \nThe OT cybersecurity training for power and energy training does not perform formal risk assessment or certification activities. Instead\, it establishes a shared technical and organizational understanding of cybersecurity risks\, system exposure\, and architectural security considerations across the energy supply chain. It can be delivered as a standalone session or used as a prerequisite for more advanced risk assessment or standard focused training. \nWe are also a proud member of the Energy Institute of UK. \nWho Should Attend\n\nPower and energy asset owners\nPower generation\, transmission\, and distribution operators\nEnergy infrastructure engineering and operations teams\nEPC companies and system integrators\nProduct suppliers and equipment manufacturers serving power and energy systems\nManagement and decision makers requiring cybersecurity context awareness\n\nKey Learning Objectives\n\nUnderstand why power and energy systems are high value cybersecurity targets\nExplain fundamental cybersecurity concepts in an energy ICS context\nDescribe typical power and energy control system architectures and components\nRecognize security boundaries\, system exposure\, and common misconceptions\nUnderstand how cybersecurity responsibilities differ across asset owners\, integrators\, and product suppliers\nUnderstand how international standards and regulations influence the power and energy supply chain\n\nEnquiry Form\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/cybersecurity-for-power-and-energy-control-systems-ot-ics/2026-06-25/ LOCATION:Singapore\, Singapore CATEGORIES:Big Data, AI & Cybersecurity,Cybersecurity & OT Security ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2026/01/cybersecurities-fundamental-fi2-scaled.png ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:1.352083;103.819836 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260625 DTEND;VALUE=DATE:20260627 DTSTAMP:20260509T203106 CREATED:20260223T042245Z LAST-MODIFIED:20260223T042442Z UID:10002384-1782345600-1782518399@www.opuskinetic.com SUMMARY:Creative and Critical Thinking in the Age of AI DESCRIPTION:Why Choose this Training Course\nThis is a 2-days critical thinking AI training. Critical thinking is so much more than analysis\, evaluation\, and debate. In today’s fast-moving\, AI-enhanced world\, we need critical thinking to manage overwhelming amounts of information and data\, question automated outputs\, and generate original ideas that push beyond conventional boundaries. It’s about becoming more discerning\, more adaptive\, and more imaginative—all at once. \nSharpening your creative thinking skills is more essential than ever. With AI accelerating the pace of change\, we’re often asked to come up with solutions quickly\, without complete information and with no guarantee of what’s coming next. That means learning to trust your creative instincts\, test ideas rapidly\, and stay flexible in the face of uncertainty. Thinking creatively and resourcefully also requires deeper collaboration. In an era where AI can automate tasks but not human connection or judgment\, our ability to work well with others\, harness diverse viewpoints\, and co-create solutions is a key driver of innovation and performance. \nCritical thinking also involves recognizing and overcoming the natural barriers that get in our way. From snap assumptions to our brain’s habit of filling in missing information\, developing awareness of these cognitive traps—and having tools to address them—is vital. \nThrough engaging lectures and hands-on activities in this critical thinking AI training\, Emma Sue Prince\, author and experiential learning specialist\, shows you how to equip yourself with practical techniques to boost your critical thinking\, harness your creative potential\, and become a more collaborative\, future-ready thinker. \nWe are also a proud member of the Energy Institute of UK. \nWho Should Attend\n\nChief Innovation Officer (CIO)\nStrategy Consultant\nOperations Manager\nChange Management Specialist\nProduct Strategist\nAI Prompt Engineer / AI Auditor\nData Analyst / Business Intelligence Analyst\nEthical AI Lead\nUser Experience (UX) Researcher\nDigital Transformation Lead\nCreative Director\nContent Strategist\nR&D (Research & Development) Lead\nService Designer\nProject Manager\nLearning & Development (L&D) Specialist\nHR Business Partner\nAgile Coach / Scrum Master\nConflict Resolution Specialist\n\nKey Learning Objectives\n\nLearn to solve problems and make effective decisions\, even in fast-changing and uncertain environments influenced by AI\nProtect your time and energy to generate more creative\, collaborative ideas\nRecognize and overcome your internal barriers and biases that can block critical thinking insights and creative breakthroughs\nApply critical and creative thinking models to a range of contexts and scenarios\nProtect your attention and energy to maximize clear thinking\nUse critical thinking to avoid fallacies\, spot biases (both human and AI generated)\, craft better arguments\, sharpen your judgment\, and make more informed decisions\nTap into and harness creativity to support collaboration and teamwork\n\nEnquiry Form\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/creative-and-critical-thinking-in-the-age-of-ai/2026-06-25/ LOCATION:Singapore\, Singapore CATEGORIES:AI & Machine Learning,Big Data, AI & Cybersecurity ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2026/02/creative-ai-fi1-scaled.png ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:1.352083;103.819836 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260629 DTEND;VALUE=DATE:20260701 DTSTAMP:20260509T203106 CREATED:20260130T042927Z LAST-MODIFIED:20260305T051738Z UID:10002363-1782723600-1782838800@www.opuskinetic.com SUMMARY:Cybersecurity for Power & Energy Control Systems (OT/ICS) DESCRIPTION:Why Choose this Training Course\nThis OT cybersecurity training for power and energy is designed to build a shared technical and organisational understanding of cybersecurity exposure across the energy value chain. Rather than focusing on compliance or certification\, the course addresses the practical realities of OT systems\, power architectures\, and cross-functional decision-making. \nThis OT cybersecurity training for power and energy training is ideal for leaders and practitioners who need to: \n\nUnderstand where cyber risks originate in power and energy systems\nAlign engineering\, operations\, IT\, and management on a common cybersecurity language\nEstablish a strong foundation before moving into formal risk assessments or standards-based training\n\nThis OT cybersecurity training for power and energy training reflects a growing recognition across the region: effective OT cybersecurity starts with system context\, not checklists. \n\nDesigned for the power & energy sector\nExecutive-friendly\, practitioner-grounded\nCan be delivered as a standalone session or as a foundation for advanced OT cybersecurity programmes\n\nThis OT cybersecurity training for power and energy training is designed as a focused cybersecurity awareness and system context course for the power and energy sector. The course introduces foundational cybersecurity concepts\, industrial control system architectures\, and sector specific challenges relevant to asset owners\, system integrators\, and product suppliers operating in power and energy environments. \nThe OT cybersecurity training for power and energy training does not perform formal risk assessment or certification activities. Instead\, it establishes a shared technical and organizational understanding of cybersecurity risks\, system exposure\, and architectural security considerations across the energy supply chain. It can be delivered as a standalone session or used as a prerequisite for more advanced risk assessment or standard focused training. \nWe are also a proud member of the Energy Institute of UK. \nWho Should Attend\n\nPower and energy asset owners\nPower generation\, transmission\, and distribution operators\nEnergy infrastructure engineering and operations teams\nEPC companies and system integrators\nProduct suppliers and equipment manufacturers serving power and energy systems\nManagement and decision makers requiring cybersecurity context awareness\n\nKey Learning Objectives\n\nUnderstand why power and energy systems are high value cybersecurity targets\nExplain fundamental cybersecurity concepts in an energy ICS context\nDescribe typical power and energy control system architectures and components\nRecognize security boundaries\, system exposure\, and common misconceptions\nUnderstand how cybersecurity responsibilities differ across asset owners\, integrators\, and product suppliers\nUnderstand how international standards and regulations influence the power and energy supply chain\n\nEnquiry Form\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/cybersecurity-for-power-and-energy-control-systems-ot-ics/2026-06-29/ LOCATION:Singapore\, Singapore CATEGORIES:Big Data, AI & Cybersecurity,Cybersecurity & OT Security ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2026/01/cybersecurities-fundamental-fi2-scaled.png ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:1.352083;103.819836 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260629 DTEND;VALUE=DATE:20260701 DTSTAMP:20260509T203106 CREATED:20260223T042245Z LAST-MODIFIED:20260223T042442Z UID:10002385-1782723600-1782838800@www.opuskinetic.com SUMMARY:Creative and Critical Thinking in the Age of AI DESCRIPTION:Why Choose this Training Course\nThis is a 2-days critical thinking AI training. Critical thinking is so much more than analysis\, evaluation\, and debate. In today’s fast-moving\, AI-enhanced world\, we need critical thinking to manage overwhelming amounts of information and data\, question automated outputs\, and generate original ideas that push beyond conventional boundaries. It’s about becoming more discerning\, more adaptive\, and more imaginative—all at once. \nSharpening your creative thinking skills is more essential than ever. With AI accelerating the pace of change\, we’re often asked to come up with solutions quickly\, without complete information and with no guarantee of what’s coming next. That means learning to trust your creative instincts\, test ideas rapidly\, and stay flexible in the face of uncertainty. Thinking creatively and resourcefully also requires deeper collaboration. In an era where AI can automate tasks but not human connection or judgment\, our ability to work well with others\, harness diverse viewpoints\, and co-create solutions is a key driver of innovation and performance. \nCritical thinking also involves recognizing and overcoming the natural barriers that get in our way. From snap assumptions to our brain’s habit of filling in missing information\, developing awareness of these cognitive traps—and having tools to address them—is vital. \nThrough engaging lectures and hands-on activities in this critical thinking AI training\, Emma Sue Prince\, author and experiential learning specialist\, shows you how to equip yourself with practical techniques to boost your critical thinking\, harness your creative potential\, and become a more collaborative\, future-ready thinker. \nWe are also a proud member of the Energy Institute of UK. \nWho Should Attend\n\nChief Innovation Officer (CIO)\nStrategy Consultant\nOperations Manager\nChange Management Specialist\nProduct Strategist\nAI Prompt Engineer / AI Auditor\nData Analyst / Business Intelligence Analyst\nEthical AI Lead\nUser Experience (UX) Researcher\nDigital Transformation Lead\nCreative Director\nContent Strategist\nR&D (Research & Development) Lead\nService Designer\nProject Manager\nLearning & Development (L&D) Specialist\nHR Business Partner\nAgile Coach / Scrum Master\nConflict Resolution Specialist\n\nKey Learning Objectives\n\nLearn to solve problems and make effective decisions\, even in fast-changing and uncertain environments influenced by AI\nProtect your time and energy to generate more creative\, collaborative ideas\nRecognize and overcome your internal barriers and biases that can block critical thinking insights and creative breakthroughs\nApply critical and creative thinking models to a range of contexts and scenarios\nProtect your attention and energy to maximize clear thinking\nUse critical thinking to avoid fallacies\, spot biases (both human and AI generated)\, craft better arguments\, sharpen your judgment\, and make more informed decisions\nTap into and harness creativity to support collaboration and teamwork\n\nEnquiry Form\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/creative-and-critical-thinking-in-the-age-of-ai/2026-06-29/ LOCATION:Singapore\, Singapore CATEGORIES:AI & Machine Learning,Big Data, AI & Cybersecurity ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2026/02/creative-ai-fi1-scaled.png ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:1.352083;103.819836 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260713 DTEND;VALUE=DATE:20260717 DTSTAMP:20260509T203106 CREATED:20240807T072507Z LAST-MODIFIED:20260309T032018Z UID:10002421-1783933200-1784221200@www.opuskinetic.com SUMMARY:Practical Data Science and Machine Learning for Oil & Gas Professionals DESCRIPTION:Why Choose this Training Course\nThis highly practical data science training course is designed to equip Oil & Gas professionals with a thorough introduction to essential machinlearning methods and a solid hands-on experience in data science and machine learning applications. \nThroughout this data science training\, participants will acquire comprehensive knowledge and develop practical skills necessary for integrating data science and machine learning into their daily work. By mastering these techniques\, participants will improve efficiency and effectiveness in both current and future projects\, ultimately leading to significant improvements in overall performance and substantial value creation for their companies. \nWho Should Attend\nGeologists\, petrophysicists\, reservoir engineers\, production engineers\, drilling engineers and other Oil & Gas professionals keen to obtain a fundamental understanding and practical skills in Machine Learning and Data Science. \nPrerequisite: \n\nParticipants should have strong upstream domain knowledge and at least 5 years of experience.\nPrior programming experience (Python) is an advantage. Recommended pre-reading material on Python can be provided upon request.\n\nKey Learning Objectives\n\nComprehensive Introduction: Gain a foundational understanding of both supervised and unsupervised learning algorithms\, including advanced topics such as deep learning and model explainability.\nHands-On Experience: Build practical skills through detailed\, step-by-step guidance on applying various machine learning methods to real-world Oil & Gas problems.\nConfidence Building: Start with simple\, clear explanations of each method\, gradually progressing to more complex applications and techniques.\nCapability enhancement: Learn how to implement the knowledge gained\, using carefully crafted code examples that can be directly applied to ongoing and future projects\, enhancing overall performance.\nBusiness impact assessment: Develop the ability to identify actual Oil & Gas industry challenges and solve them\neffectively by leveraging Machine Learning and Data Science methods.\n\nEnquiry Form\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/data-science-training-2/2026-07-13/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Geology,Reservoir Engineering ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2021/11/machine-learning-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT END:VCALENDAR