AI courses for project managers · page 8

Forecast the return on investment (ROI) of AI agents

Microsoft Learn

Financial evaluation of AI-agent adoption, with ROI and business-value evidence for stakeholder investment decisions.

Founderz IA aplicada a la gestión de proyectos

Founderz

Five modules on PM tasks, AI agents, automation and Power Automate, risks, schedules, resources and stakeholders.

France Formation Groupe Formation IA pour la gestion de projet

France Formation Groupe

Meeting actions, planning, risk, reporting, Excel and privacy/validation.

Frankfurt School AI in Project Management

Frankfurt School of Finance and Management

Prompting, requirements, project structures, schedules, risk, cost and stakeholders.

Free Introduction: PMI Certified Professional in Managing AI

Project Management Institute

• Why AI projects fail: objectives, planning and data quality
• Six CPMAI phases
• Data-centric and Agile delivery

Generative AI for Project Management

International Institute for Learning, Inc.

Use multiple GenAI tools to initiate, plan and manage a learner’s own project or supplied case, with data/trust safeguards.

Generative AI for Project Management Specialization

SkillsBooster Academy

Four courses: PM Basics (general PM foundations), Project Management with AI, ChatGPT for PM and Microsoft Copilot for PM; project plans, risk, reporting, meetings, budget and governance.

Generative AI for Project Managers

Pluralsight

GenAI benefits/pitfalls, suitable PM tasks, output validation/analysis, model basics, team governance and responsible adoption.

Generative AI for Project Managers and Project Teams

PM-Partners

Prompting for fit-for-purpose project artifacts, AI concepts and commercial considerations, ethics/IP, iterative prompt refinement and practical use of AI across project tasks.

Generative AI for Project Managers Specialization

IBM and SkillUp

Three courses: general GenAI introduction (8 h), general prompt engineering (10 h), then PM lifecycle use (9 h) with ChatGPT/Copilot/Gemini/DALL-E; PM course names charter and WBS outputs.

Generative AI for Project Managers Training

Simpliaxis

• The published modules cover planning/scheduling/task/resource allocation
• communication/collaboration
• risk
• budget and cost
• stakeholder reporting
• decision support and analytics
• project-tool integration
• quality
• Agile/Scrum
• ethics
• and future use. Named PM artifacts/tasks include work breakdowns, schedules, estimates, risk analysis and status/reporting. Provider also promises practical exercises and project cases.

Generative AI for Project Managers: Fourteen Ways to Streamline Your Work

LinkedIn Learning

Fourteen ChatGPT/Claude examples for stakeholder analysis, artifacts, team and communication work, budget/cost, scope creep, acceptance and lessons learned.

Generative AI Overview for Project Managers

Project Management Institute

• AI/GenAI distinctions
• Resource allocation, schedules, documentation, risk and costs use cases
• ChatGPT lab and AI tool library

Generative AI: Unleash Your Project Management Potential

IBM and SkillUp

Use ChatGPT, Copilot, Gemini and DALL-E across the project lifecycle; charter, WBS and ethical challenges are named.

Gestion de projets Data & AI

skilldeve

French data/AI project framing and roadmap planning, roles, project communication, uncertainty/arbitrage, quality, responsible AI and business-value delivery.

Gestión de Proyectos Inteligente con IA y ChatGPT

Ivan Pinar Domínguez

AI-supported NPV/IRR business cases, charter/scope/WBS, Gantt/critical path, risks/quality and stakeholder email/reporting;50+ prompts advertised.

Gestão de Projetos com Inteligência Artificial

Centro Universitário Geraldo Di Biase (UGB-FERP)

• PMBOK, Scrum and Kanban
• AI for project planning, monitoring and analysis
• machine learning and automation
• PMO maturity, AI risk management, budgets and project schedules, strategic planning, ethics and data responsibility.

Gestão de Projetos e Portfólio de IA

Cruzeiro do Sul Virtual

Digital-maturity diagnosis, AI business-model redesign, organizational change, and planning, executing, monitoring and managing AI project portfolios through agile frameworks and MLOps practices.

Gestão de Projetos em Data Science e IA

UniCesumar

The 140-hour, four-module curriculum names project risk, Big Data analytics, practical AI tools, data product management, AI ethics/Responsible AI and the AI project lifecycle (CRISP-DM and MLOps). Provider outcomes cover leading AI/data projects from conception through implementation and monitoring, coordinating multidisciplinary teams and structuring data products.

Gestão de Projetos Guiada por IA com ChatGPT

Omni Academy / Mirko Perkusich / Letícia de Sousa Coelho

Portuguese ChatGPT lifecycle course develops charter, stakeholders, WBS, risks, schedule and communication, from initiation through closure.