Energy & Utilities
How the energy and utilities sector works, and the finance, marketing, data and AI that run it.
The programs
Five programs, one per domain of the Energy & Utilities sector. Every one is readable straight away, without an account, and you can gauge your level on any of them whenever you want.
Energy & Utilities
This block gives you a working map of the Energy & Utilities sector before you go deeper into strategy or finance.
18 lessons · about 4h
- Explain the end-to-end energy value chain from generation or extraction to retail supply
- Identify major industry players and assess where bargaining power and margin concentrate along the chain
- Apply key regulations and compliance requirements relevant to utilities, generators, and energy retailers
Finance for Energy & Utilities
Energy and utilities finance runs on capital intensity, long asset lives, and regulated or contracted revenue streams that shape how projects get funded and valued.
31 lessons · about 6h
- Explain the end-to-end energy value chain from generation or extraction to retail supply
- Identify major industry players and assess where bargaining power and margin concentrate along the chain
- Apply key regulations and compliance requirements relevant to utilities, generators, and energy retailers
Marketing for Energy & Utilities
Energy and utilities marketing operates under unusual constraints: many customers are captive or quasi-captive, switching rates are low, products are commoditized, and messaging is tightly policed by energy regulators.
31 lessons · about 6h
- Explain the end-to-end energy value chain from generation or extraction to retail supply
- Identify major industry players and assess where bargaining power and margin concentrate along the chain
- Apply key regulations and compliance requirements relevant to utilities, generators, and energy retailers
Data for Energy & Utilities
Energy and utilities generate some of the densest operational data in any industry: SCADA telemetry, smart meter intervals, grid sensor feeds, drilling and production logs, and weather-linked demand signals.
31 lessons · about 6h
- Explain the end-to-end energy value chain from generation or extraction to retail supply
- Identify major industry players and assess where bargaining power and margin concentrate along the chain
- Apply key regulations and compliance requirements relevant to utilities, generators, and energy retailers
AI for Energy & Utilities
Energy and utilities companies sit on vast physical and sensor infrastructure, from generation assets to grids to meters, making them a prime setting for applied AI.
31 lessons · about 6h
- Explain the end-to-end energy value chain from generation or extraction to retail supply
- Identify major industry players and assess where bargaining power and margin concentrate along the chain
- Apply key regulations and compliance requirements relevant to utilities, generators, and energy retailers
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.
The curriculum in detail
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
Prefer to place yourself first?
Five short assessments, one per domain of the Energy & Utilities sector. Ten questions each, three minutes, and a competency radar once you have taken more than one.
All sector assessmentsLatest articles
What the blog publishes on Energy & Utilities, across every discipline.
- AIRead how Duke Energy cut turbine failures using sensor AIDuke Energy built one of the most operationally consequential AI deployments in U.S. generation by wiring sensor data into machine learning models that flag failures weeks before they happen. The mechanics of what they did, and what transfers to your assets, are worth examining closely.
- FinanceTotalEnergies is flooding shareholders with cash: is the Iran war windfall a repeatable playbook?TotalEnergies has sharply increased both its buyback programme and its dividend as oil prices surge on the back of the Iran war, generating exceptional cash flows. The case forces a precise question: when a geopolitical shock fattens your balance sheet, how much do you return and how do you structure it?
- AIWhen the AI is confident and the grid goes darkAn AI system's confident wrong answer is dangerous in any industry. In power grid operations, where a single bad dispatch decision can cascade into a NERC reliability violation and a multi-million-dollar blackout, the stakes are categorically different from a chatbot giving a customer a bad product recommendation.
- DataLoad forecasting for utility operators: integrating weather, behavioral, and DER signals into demand prediction pipelinesPredicting electricity demand was already hard when the only moving parts were temperature and industrial schedules. Adding rooftop solar, residential batteries, and EV charging into the same pipeline has turned a solved problem into an active one, and the cost of getting it wrong lands directly in rate cases and NERC reliability reports.
Frequently asked questions
What does the Energy & Utilities track actually cover?
It covers five blocks: how the sector works end to end (generation, grid, consumer, wholesale power markets, the regulated-monopoly model), then finance, marketing, data and AI applied inside energy. The first block gives you the sector's mechanics; the other four are functional lenses on that same terrain.
Who is this for if I don't work at a utility?
It is written for people who need to understand energy from the outside as much as the inside: suppliers, investors, industrial buyers, consultants, regulators, and anyone joining the sector from another industry. The sector-mechanics block assumes no prior knowledge of grids or power markets.
Where should I start if I'm new to the sector?
Start with the sector-mechanics block. Finance, marketing, data and AI in energy all lean on the same foundations: how power moves from generation to the grid to the consumer, how wholesale markets clear, and how the regulated-monopoly model sets returns.
Is there a diploma or certification at the end?
No. There is no diploma, no state-recognised certification, and no affiliation with a school or university. Reading is free and open; an account only saves your progress.
What makes energy finance different from finance in other sectors?
Three things dominate: very heavy capital expenditure against assets that live for decades, revenues partly set by regulation through the rate base and allowed return rather than by the market, and constant exposure to commodity price risk. Project finance structures exist because single assets are too large to sit on one balance sheet comfortably.
What is there to market when energy is a commodity?
Retail energy competition, where regulation allows it, turns on trust and switching behaviour rather than product differentiation. The marketing block covers that, plus sustainability positioning and demand-side programs that ask customers to shift or reduce consumption.
What kind of data does the sector actually run on?
Smart meter readings and grid telemetry at the core, plus outage records and asset data. Load forecasting is the flagship use case, and because this is critical infrastructure, the data block spends real time on governance rather than treating it as an afterthought.
Where does AI create value in energy beyond forecasting?
Forecasting demand and generation is the obvious use, but the AI block also covers grid balancing and optimization, predictive maintenance on physical assets, and trading. Balancing and maintenance are where the technical work meets hard operational constraints, since the grid has to stay in equilibrium at all times.