
This course contains the use of artificial intelligence.
There are two completely different jobs hiding behind the phrase "AI and programme management", and most of the confusion in this field comes from people not noticing which one they are in. You can use AI as an enabler of a programme that has nothing to do with AI. Or the AI can be the thing your programme delivers. This course is unambiguously the first — and it says so on screen in lecture one, because that single distinction is what separates programme managers who get real value out of this technology from the ones who spend a year running pilots and have nothing to show a board.
MIT's Project NANDA found that roughly 95% of enterprise generative-AI pilots produce no measurable business return, and the researchers attributed the divide to approach rather than model quality. That makes it your problem — which is good news, because it means it is fixable from where you sit.
You will follow one programme the whole way through. Meridian Grid is a European electricity distribution network operator: 11,400 people, four countries, and a €480M six-component transformation called Grid Intelligence. Every concept gets applied to it. By the final lecture you will know that programme well enough to have opinions about it — including about the decisions its director got wrong.
What makes this course different
Who this is for. Programme managers, senior project managers moving into programme roles, PMO leads, and portfolio managers who need to answer a sponsoring board's questions about AI with something more durable than enthusiasm. No technical background is assumed — lecture two gives you the entire vocabulary you need in four words.
What you will not find here. No prompt-pack padding. No claim that any framework is a compliance shield. No worked example where everything goes right — the closing lecture leaves Meridian with a component running late and a conformity workstream that is harder than anyone estimated, because that is how real programmes go.
Eight sections, 44 lectures, eight quizzes, seven assignments with fully worked model solutions, and a final practice exam. You will leave with artefacts, not enthusiasm.