Energy & Utilities
How the energy and utilities sector works, and the finance, marketing, data and AI that run it.
Energy is capital-intensive, heavily regulated, and mid-transition to low carbon. From how power markets and the grid work to rate regulation and the energy transition, this vertical gives you the sector's big picture, then finance, marketing, data and AI applied inside it.
Key terms
Why specialize in Energy & Utilities?
Cross-cutting skills are not enough in the Energy & Utilities sector. It plays by its own rules: a distinct value chain, specific players and balance of power, dense regulation, and key figures you won't find anywhere else. This vertical gives you that sector fluency — first the big picture, then finance, marketing, data and AI applied concretely to Energy & Utilities, with the calculations, benchmarks and checklists you actually need on the ground.
What you'll be able to do
- Understand how the Energy & Utilities sector works: value chain, key players and balance of power
- Know the major regulations and laws, the sector's acronyms and vocabulary
- Run the key calculations and read the benchmarks specific to Energy & Utilities (US and Europe markets)
- Apply finance, marketing, data and AI to the realities of Energy & Utilities
- Gauge your level with 5 sector assessments and a competency radar
70 lessons across 16 modules and 5 blocks, with a test per lens and a sector competency radar. Free to read — no account required.
Curriculum
Energy & Utilities: how the sector works
Generalhow energy and utilities work: generation to grid to consumer, wholesale power markets, the regulated-monopoly model, and the energy transition reshaping it.
4 Modules · 18 Lessons
Finance in energy
Financeenergy finance: heavy capital expenditure and long asset lives, the regulated rate base and allowed returns, project finance, and commodity price risk.
3 Modules · 13 Lessons
Marketing in energy
Marketingmarketing in energy: retail energy competition where it exists, trust and switching, sustainability positioning, and demand-side programs.
3 Modules · 13 Lessons
Data in energy
Dataenergy data: smart meters and grid telemetry, load forecasting, outage and asset data, and the governance around critical infrastructure.
3 Modules · 13 Lessons
AI in energy
AIAI in energy: demand and generation forecasting, grid balancing and optimization, predictive maintenance of assets, and trading.
3 Modules · 13 Lessons