Consultants and in-house advisors, business and process analysts, project and program managers, change and transformation staff, IT business partners and product owners, and managers in areas like supply chain, customer service, finance, HR, and quality who are suddenly being asked to sponsor an AI project. Most have a degree and at least a few years of working experience. Some have touched something adjacent — an automation rollout, a reporting project, daily use of an AI assistant — but almost none have advised a company on AI as a job.

They want to move into work that is clearly in demand without going back to school to become an engineer. They want to answer the AI questions arriving in their current role instead of handing them to someone else. They want a credential from a company employers associate with enterprise AI. And they want a method, because right now they are improvising.

They can map how work gets done, but they cannot yet tell which parts of it AI could realistically take on. They can read a budget case, but not one where the benefits are uncertain and the costs land on a different team. They have heard of AI rules and standards but do not know what those require of an actual project. They cannot tell a polished vendor demo from a system that works on a company's real, messy data. And they have never produced the documents this job runs on: the shortlist of AI projects, the readiness write-up, the plan, the money case, the risk plan.

They advise across many industries, so the program stays industry-neutral and uses one large manufacturer as its running example, which covers everything from the factory floor to customer service to finance. The rules and standards taught are the ones used internationally, so the content holds up for learners in the United States, Europe, the UK, and India, where this hiring is concentrated. Pay and job-posting figures are from US sources and are labeled that way.

Recommended, not required: a couple of years of working experience in a business, consulting, project, analyst, or operations role. Some everyday use of an AI assistant like ChatGPT or Copilot. Comfort with spreadsheets and business documents. Nothing technical.

An AI consultant helps a company decide what to do about AI and in what order. It is advice work, not building work. You look at how a company operates, find the places AI could genuinely help, check whether the company is ready, put together a plan and a budget, work out the payback, make sure the work stays safe and legal, and present the recommendation to the people who decide. Building the AI systems themselves is a different job, done by engineers and data scientists. This certificate teaches the advice side.