This course contains the use of artificial intelligence.

Artificial intelligence is reshaping how organizations compete, operate, innovate, and lead. Yet many companies remain stuck between experimentation and execution. AI in 90 Days: A Leadership Bootcamp gives executives, managers, and transformation leaders a practical framework for moving from scattered AI activity to a focused, credible, and measurable AI leadership plan.

This 12-week program is designed for leaders who need to create momentum quickly without becoming programmers or data scientists. You will learn how to define a clear AI strategic mandate, identify high-value opportunities, establish governance, redesign workflows, guide adoption, measure results, and communicate confidently with executives, employees, boards, customers, and partners.

The course begins by examining how AI changes the leadership contract and why visible executive sponsorship is critical. You will develop an AI leadership charter that defines strategic intent, leadership behaviors, priorities, and stakeholder expectations.

You will then build practical AI literacy across generative AI, agentic AI, data, prompting, model capabilities, limitations, and common failure modes. This knowledge will help you assess vendor claims, challenge unrealistic expectations, and make stronger strategic decisions.

A major focus of the course is identifying and prioritizing the right AI use cases. You will explore opportunities across revenue growth, operational efficiency, innovation, customer experience, productivity, and risk reduction. You will learn how to design pilots that test real business assumptions, define funding gates, and create a defensible AI value portfolio.

The program also covers the organizational foundations required to scale AI responsibly. You will design an AI operating model with clear decision rights, ownership, governance forums, funding processes, escalation paths, policies, and practical guardrails. You will assess readiness across data, technology, security, privacy, talent, integration, vendors, and ecosystem partnerships.

Because AI transformation is fundamentally about work, not just technology, you will learn how to redesign human and AI workflows. You will define where AI should assist, where human judgment is essential, how exceptions should be escalated, and how quality should be reviewed.

You will also create a practical responsible AI control plan addressing fairness, ethics, privacy, security, human oversight, auditability, monitoring, and incident response.

Additional topics include change leadership, employee adoption, manager enablement, training, communication, incentives, communities of practice, ROI, total cost of ownership, executive dashboards, and scale-or-stop decisions.

You will explore how agentic AI introduces new leadership questions around autonomy, permissions, control points, failure recovery, and human-agent collaboration.

By the end of the course, you will have created a complete portfolio of executive-ready artifacts, including an AI charter, value portfolio, operating model, readiness heatmap, workflow map, control plan, adoption strategy, ROI scorecard, stakeholder narrative, and 90-day AI leadership sprint plan.

This course will help you turn AI ambition into focused action, responsible execution, and measurable business impact.