Managing an AI Team: Hiring, Structure & Culture
This course is for CTOs, VPs of engineering, heads of AI, founders and business leaders who build, run or scale AI teams. It assumes you already manage people or technical work, and now need to do it for AI, where results are less predictable and the talent market is tighter.
What you will learn
- • Write a one-page AI strategy tied to revenue, cost or risk.
- • Choose between a central AI team, a hub-and-spoke model and embedded teams, based on how far along your company is.
- • Run a fast, fair hiring process for AI roles and keep your best people.
- • Capture your team's knowledge so it survives people leaving, and set up safe ways to experiment.
- • Run AI projects with an agile process adapted to uncertain work, and report results a CFO will accept.
- • Lead AI specialists, and explain AI clearly to non-technical colleagues and boards.
- • Scale AI across the company, including distributed teams and AI agents.
- • Write a one-page AI strategy tied to revenue, cost or risk.
- • Choose between a central AI team, a hub-and-spoke model and embedded teams, based on how far along your company is.
- • Run a fast, fair hiring process for AI roles and keep your best people.
- • Capture your team's knowledge so it survives people leaving, and set up safe ways to experiment.
- • Run AI projects with an agile process adapted to uncertain work, and report results a CFO will accept.
- • Lead AI specialists, and explain AI clearly to non-technical colleagues and boards.
- • Scale AI across the company, including distributed teams and AI agents.