This advanced 5 days programme provides professionals with a rigorous, practice-oriented grounding in Robotic Process Automation (RPA) in the Energy Industry. 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 Robotic Process Automation (RPA) in the Energy Industry. 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 Robotic Process Automation (RPA) in the Energy Industry, 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 RPA technology landscape and identify high-value automation candidates.
Process discovery exercise: teams map two candidate processes from a provided list of energy sector workflows, score them against automation criteria, and rank their automation potential.
Design and configure RPA bots using industry-standard development practices.
Bot design exercise: teams design the workflow logic for an invoice processing automation, mapping exceptions, decision points, and system interactions before configuration.
Apply testing practices and operational management to deliver reliable RPA solutions.
Testing and release plan: teams develop a test plan and deployment runbook for a new RPA bot, including test cases, acceptance criteria, and rollback procedures.
Extend RPA with AI capabilities and develop a hyperautomation strategy.
Intelligent automation design: teams design an enhanced automation solution for a provided energy sector workflow that incorporates at least one AI component (IDP, CV, or NLP).
Establish governance frameworks, security controls, and value measurement for RPA programmes.
Capstone automation programme: teams present a 12-month RPA programme plan for a provided organisation, covering governance, prioritised use cases, resource plan, and expected ROI.
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.