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Find routes describing adoption, rollout or change management. Match the course to your team’s tools, responsibilities and support needs rather than a generic list of AI capabilities.
Define one team pilot with a responsible owner, success criteria and a feedback loop.
This is an editorial practice suggestion, not a claim that every listed course includes this exercise. Check each provider’s advertised curriculum.
6 PM-specific routes and 8 broader workflow routes mention this task. Labels below keep the two collections separate.
Alphabetical order · 1–14 of 14
Arjun Vaid / School of AI
Apply AI to communication, research, data decisions and recurring workflows with governance and team adoption.
Sharma Management International (SMI), Malaysia
The provider outline includes AI fundamentals and project cases, identifying AI opportunities, predictive scheduling and forecasting, risk and issue tracking, resource allocation, dashboards, governance, privacy, change management and a digital PM roadmap.
PMAI Revolution
Microsoft Learn
Copilot rollout readiness: tenant/update checks, oversharing and compliance gaps, followed by a phased adoption plan.
AFNOR Compétences
AI foundations, use-case mapping by business unit, security and regulatory risk, audit of an AI project, internal AI charter, adoption/change plan, governance committee and project KPIs.
StudyEasy Organization, Chaand Sheikh
Course covers Claude prompts/projects, project workflows, source/fact checking, privacy/safety and team rollout.
PMI Ceará Chapter (PMI-CE)
Provider describes Lean Change Management applied to AI adoption: diagnose organizational readiness, treat resistance as information, and structure rapid reversible experiments before scaling. This concerns AI implementation/change leadership, not routine PM-tool usage.
School of AI
Evaluate AI use cases, governance and operating models, then plan deployment monitoring and team adoption.
Universidad Panamericana — Educación Continua
Johns Hopkins University
AI delivery at scale, team/role choices, human vs automation, AI-specific risks/bias, Agile/change management and budget/scale tradeoffs.
Eva Spexard and Justin Bateh / Maven
Map recurring work and done criteria, split human/AI handoffs, assign owners, review AI reports, diagnose failures and build a90 day rollout with team updates.
AIKm
Five three-hour hands-on modules cover AI-native operating models, workflow/data readiness/role redesign, enterprise LLM/tool choice, agentic/API/cloud layers, governance and rollout planning.
Christina Charenkova / Maven
Manage AI-rollout adoption through an evidence/assumption diagnosis, stakeholder move order, bounded sponsor test and decision page. Scope is managing AI implementation/adoption, rather than teaching a prompt-tool survey.
Christina Charenkova on Maven
