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AI Engineering Leader Path/AI Engineering Leadership
Intermediate

AI Engineering Leadership

Choose, govern and scale AI so it delivers measurable value

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For engineering managers and AI leads: build a portfolio of AI bets with stage gates, set up proportionate governance and risk tiering, and scale AI across teams with the right operating model, upskilling and measurement.

Skills you'll gain

AI StrategyPortfolio ManagementAI GovernanceRisk TieringOperating ModelsValue Measurement

Prerequisites

Experience leading engineering or product teams

Chapters

1
AI Strategy & PortfolioIntermediate

Choose a few AI bets tied to business outcomes, fund them in stages, and stop the ones that do not prove their value.

2
AI Governance & RiskIntermediate

Know what AI you run, how risky each system is and who owns it, and apply controls in proportion, so the answer is usually yes, with conditions.

3
Scaling AI Across TeamsIntermediate

Choose an operating model, upskill people by role, and measure value from adoption to outcomes, so AI spreads beyond the first successful team.