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The ability to communicate tasks to AI using coordinated combinations of text, images, audio, video, documents and structured context while specifying evidence, output and verification requirements.
The ability to design AI experiences that adapt to a person's context, preferences, goals or behavior while preserving consent, privacy, relevance, fairness and user control.
The ability to connect AI capabilities to business priorities, redesign work around measurable outcomes, and make disciplined choices about where AI should and should not be used.
The ability to divide, coordinate and review work between people and AI so each contributes where it is strongest while humans retain appropriate judgment and accountability.
The ability to give AI systems and agents clear goals, context, constraints, authority boundaries, success criteria and escalation rules so delegated work can be completed reliably.
The ability to recognize, reduce and govern privacy risks created when personal, confidential or sensitive data is collected, transformed, retrieved or shared through AI systems.
The ability to move AI from available technology to sustained, responsible use by aligning leadership, workflows, skills, incentives, trust, support and measurement.
The ability to design, deploy, operate and improve computing workloads using cloud infrastructure, managed services, networking, storage, identity and cost controls.
The ability to identify obligations and risks, design proportionate controls, document accountability and provide evidence that an organization is operating within its policies and requirements.
The ability to define, measure, diagnose and improve whether data is accurate, complete, consistent, timely, valid and fit for its intended use.
The ability to detect, correct, standardize and document data defects so datasets become more reliable without obscuring uncertainty or destroying useful information.
The ability to isolate software failures systematically, test hypotheses, inspect evidence and use AI tools to accelerate diagnosis without outsourcing technical judgment.
Learning paths arrange connected skills into a practical order so you can build a stack without guessing what comes next.