This advanced 5 days programme provides professionals with a rigorous, practice-oriented grounding in Applied Digitalisation for Oil & Gas. Designed for those working across the Digital & Technology sector, the course combines established theoretical frameworks with current industry practice through expert-led instruction, structured case studies, and hands-on workshops.
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About this programme
This advanced 5 days programme provides professionals with a rigorous, practice-oriented grounding in Applied Digitalisation for Oil & Gas. Designed for those working across the Digital & Technology sector, the course combines established theoretical frameworks with current industry practice through expert-led instruction, structured case studies, and hands-on workshops.
Participants will engage with the most relevant tools, standards, and methodologies used in Digital Transformation today. By the final day, delegates will leave with a clear personal action plan and the confidence to apply their learning immediately, contributing to improved performance, compliance, and competitive advantage within their organisations.
Equip professionals with the knowledge, skills, and frameworks required to excel in Applied Digitalisation for Oil & Gas, driving measurable improvement in Digital & Technology performance and delivering tangible value to their organisations.
11 key learning outcomes
Understand the strategic landscape of digital transformation and its impact on the energy sector
Apply data analytics and visualisation techniques to extract actionable insights from operational datasets
Evaluate AI and machine learning applications relevant to oil and gas, energy, and industrial operations
Assess cybersecurity risks in operational technology environments and apply mitigation frameworks
Design digital use cases that deliver measurable business value and operational improvement
Communicate digital strategy and technology roadmaps to senior leadership and business stakeholders
Apply cloud computing concepts and data architecture principles to enterprise digital initiatives
Understand and apply relevant digital standards, governance frameworks, and data management practices
Evaluate emerging technologies — IoT, digital twins, RPA, and blockchain — for energy sector applications
Build and prioritise a digital transformation roadmap aligned to organisational goals and capabilities
Apply change management principles to drive digital adoption across technical and non-technical teams
5 training days · 15 modules · hands-on workshops
Understand the strategic drivers, maturity models, and energy sector context for digital transformation.
Digital maturity assessment: teams apply a structured maturity model to a provided oil and gas asset, score current state across six dimensions, and identify the highest-value improvement opportunities.
Apply data management principles and analytics techniques to generate operational insights.
Analytics use case development: groups build a production surveillance dashboard concept for a provided dataset, defining KPIs, alert thresholds, and visualisation approach.
Apply AI and machine learning concepts to industrial and energy sector use cases.
AI use case design workshop: teams select one of three provided operational challenges and design an end-to-end ML solution, covering data requirements, algorithm selection, and deployment strategy.
Design digital twin architectures and IoT systems for connected asset operations.
Digital twin concept design: groups design a digital twin for a provided rotating equipment or production system, specifying data inputs, model type, update frequency, and use case benefits.
Build and communicate a prioritised digital roadmap and manage the organisational change.
Capstone digital roadmap: teams present a 3-year digital transformation roadmap for a provided asset or business unit, covering use cases, technology investments, change programme, and expected value.
This programme is designed for professionals across these roles
Professionals working with data to generate insights, models, and business intelligence
Engineers managing information technology or operational technology systems and infrastructure
Leaders responsible for digital strategy, technology investment, and transformation programmes
Security teams protecting operational technology and digital assets in industrial environments
Operations, maintenance, and engineering staff adopting digital tools in their work processes
Innovation champions tasked with identifying and delivering digital use cases across the business
Upcoming public dates — enrol anytime
This course carries internationally recognised professional credits
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Speak with our training advisors to confirm availability, group rates, and customised in-house options.