AI-Assisted Energy Transition Strategy Course

Turn energy-system evidence into pathway choices, prioritized initiatives, governance roles, and an accountable delivery roadmap.
AI-Assisted Energy Transition Strategy Course

At a glance

Duration
5 days
Format
Classroom
Cities
Paris, Dubai, Barcelona, Bali, Singapore, Istanbul and more
Next session
12 – 16 October 2026, Paris
Average fee
5,800 €

Overview

AI-Assisted Energy Transition Strategy and Delivery Course is a five-day foundation course for energy strategy leaders, sustainability managers, utilities professionals, project sponsors, policy teams, and transition analysts, who leave with an AI-Assisted Energy Transition Strategy and Delivery Roadmap. Participants connect demand, supply, grid, asset, emissions, technology, investment, and policy evidence; compare pathway scenarios; prioritize initiatives; define governance; and organize accountable delivery. Agile Leaders Training Center provides training in AI-assisted energy transition strategy and delivery.

Who Should Attend

  • Strategy teams responsible for energy-transition direction and priorities
  • Sustainability teams responsible for emissions pathways and outcome measures
  • Utility teams responsible for system evidence and transition initiatives
  • Project sponsors responsible for investment choices and delivery oversight
  • Policy teams responsible for transition options and stakeholder effects
  • Analysts responsible for scenarios, evidence, and decision support

The course assumes participants contribute to energy, sustainability, policy, investment, or project decisions and leaves out technical power-system modeling, equipment design, software development, and energy-efficiency operations.

Departments and Industries

The course supports evidence-based energy-transition decisions across public and private organizations.

  • Corporate strategy and sustainability functions
  • Energy policy and public-sector planning teams
  • Electric utilities and renewable energy organizations
  • Oil, gas, and industrial transition functions
  • Infrastructure investment and project delivery teams
  • Transport, buildings, and manufacturing organizations

Learning Objectives

By the end of this course, participants will be able to:

  • Apply AI-assisted evidence mapping to energy-transition choices
  • Analyze demand, supply, grid, asset, emissions, and policy signals
  • Compare pathway scenarios and document assumptions
  • Prioritize transition initiatives through portfolio criteria
  • Build governance roles, workstreams, and outcome measures
  • Evaluate delivery progress and revise the transition roadmap

Course Agenda

Day 1: Transition Evidence and Scope

  • Energy Transition Decision-Scope Canvas
  • Demand and Supply Evidence Map
  • Grid and Asset Signal Register
  • Emissions and Technology Baseline Sheet
  • Policy, Investment, and Stakeholder Context Map

Day 2: AI-Assisted Analysis and Scenarios

  • AI Use-Case Selection Matrix
  • Data Provenance and Quality Checklist
  • Pathway Assumption Register
  • Energy Scenario Comparison Table
  • Uncertainty and Sensitivity Review

Day 3: Initiative and Portfolio Choices

  • Transition Initiative Design Card
  • Renewable Integration Option Screen
  • Abatement, Cost, and Feasibility Matrix
  • Transition Portfolio Prioritization Grid
  • Dependency and Sequencing Map

Day 4: Governance and Delivery

  • Responsible AI Oversight Checklist
  • Transition Governance and Decision-Rights Matrix
  • Workstream, Owner, and Milestone Plan
  • Outcome Measure and Indicator Scorecard
  • Monitoring, Learning, and Adaptation Cycle

Day 5: Energy Transition Strategy Practice

  • Suggested Exercise: Build the Transition Evidence Map
  • Suggested Exercise: Compare Pathway Scenarios
  • Suggested Exercise: Prioritize the Initiative Portfolio
  • Suggested Exercise: Assign Governance and Delivery Controls
  • Capstone Exercise: AI-Assisted Energy Transition Strategy and Delivery Roadmap

Practical Exercises

The course uses suggested activities that convert energy-transition evidence into traceable strategy and delivery choices.

  • Suggested activity: map demand, supply, grid, asset, emissions, technology, investment, and policy evidence for a utility or industrial case
  • Suggested activity: compare pathway scenarios, assumptions, uncertainty, and stakeholder effects
  • Suggested activity: screen renewable, infrastructure, and operational initiatives and prioritize a transition portfolio
  • Suggested activity: assign decision rights, owners, milestones, outcome measures, and adaptation triggers

FAQs

Who suits AI-assisted energy transition strategy training?

AI-assisted energy transition strategy training suits strategy, sustainability, utility, policy, investment, project, and analysis teams. It assumes participants contribute to organizational decisions and requires no programming or technical power-system modeling.

How does AI-assisted energy transition strategy differ from energy-efficiency training?

AI-assisted energy transition strategy connects system pathways, portfolios, governance, investment, and delivery across multiple energy sources. Energy-efficiency training concentrates on reducing energy use in operations, buildings, or equipment.

How can AI support energy transition scenarios?

AI can support energy transition scenarios by organizing evidence, identifying patterns, comparing assumptions, testing sensitivities, and monitoring indicators. Human owners remain responsible for context, uncertainty, judgment, and decisions.

What belongs in an energy transition initiative portfolio?

An energy transition initiative portfolio contains defined initiatives, expected outcomes, dependencies, costs, feasibility criteria, risks, timing, owners, milestones, and measures used to prioritize, sequence, monitor, and adapt delivery.

What is an AI-Assisted Energy Transition Strategy and Delivery Roadmap?

An AI-Assisted Energy Transition Strategy and Delivery Roadmap connects the evidence base, pathway choice, initiative portfolio, governance roles, workstreams, milestones, outcome measures, and review triggers in one decision record.

Conclusion

Participants take back an AI-Assisted Energy Transition Strategy and Delivery Roadmap connecting evidence, scenarios, priorities, governance, and execution. The roadmap makes assumptions, choices, ownership, milestones, and outcome measures visible across functions. It supports traceable transition decisions, coordinated workstreams, and timely adaptation as evidence changes.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

Showing 41-60 of 76 events
Image Location Dates Duration Mode Price Actions
Langkawi Langkawi Week 17, 2027
2 – 6 May 2027
5 Days Onsite €6,000
Porto Porto Week 18, 2027
3 – 7 May 2027
5 Days Onsite €5,700
Geneva Geneva Week 18, 2027
9 – 13 May 2027
5 Days Onsite €6,200
Nice Nice Week 19, 2027
10 – 14 May 2027
5 Days Onsite €5,700
Kuala Lumpur Kuala Lumpur Week 20, 2027
17 – 21 May 2027
5 Days Onsite €5,200
Abu Dhabi Abu Dhabi Week 20, 2027
17 – 21 May 2027
5 Days Onsite €4,700
Trabzon Trabzon Week 20, 2027
23 – 27 May 2027
5 Days Onsite €6,800
Amsterdam Amsterdam Week 21, 2027
24 – 28 May 2027
5 Days Onsite €5,700
Manama Manama Week 21, 2027
30 May – 3 June 2027
5 Days Onsite €4,700
San Diego San Diego Week 22, 2027
31 May – 4 June 2027
5 Days Onsite €14,000
Milan Milan Week 23, 2027
7 – 11 June 2027
5 Days Onsite €5,700
London London Week 24, 2027
14 – 18 June 2027
5 Days Onsite €5,700
Munich Munich Week 24, 2027
14 – 18 June 2027
5 Days Onsite €5,700
Amman Amman Week 24, 2027
20 – 24 June 2027
5 Days Onsite €4,100
Madrid Madrid Week 26, 2027
28 June – 2 July 2027
5 Days Onsite €5,700
Tokyo Tokyo Week 27, 2027
5 – 9 July 2027
5 Days Onsite €10,000
Cape town Cape town Week 27, 2027
11 – 15 July 2027
5 Days Onsite €4,500
Bangkok Bangkok Week 28, 2027
18 – 22 July 2027
5 Days Onsite €6,000
Montreux Montreux Week 29, 2027
19 – 23 July 2027
5 Days Onsite €7,500
Vienna Vienna Week 30, 2027
26 – 30 July 2027
5 Days Onsite €5,700

Frequently asked questions

What does this course cover?

OverviewAI-Assisted Energy Transition Strategy and Delivery Course is a five-day foundation course for energy strategy leaders, sustainability managers, utilities professionals, project sponsors, policy teams, and transition analysts, who leave with an AI-Assisted Energy Transition Strategy and Delivery Roadmap. Participants connect demand, supply, grid,…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

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