FLAG Inteligência Artificial Aplicada à Gestão de Projetos
FLAG
Business cases, monitoring, prediction, decisions and stakeholder work.
Browse / 101 listings
Compare PM-specific courses with affirmative instructor-led delivery evidence. Mixed routes stay labeled; confirm current dates, time zones and attendance requirements.
Alphabetical order · 61–80 of 101
FLAG
Business cases, monitoring, prediction, decisions and stakeholder work.
Frankfurt School of Finance and Management
Prompting, requirements, project structures, schedules, risk, cost and stakeholders.
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.
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.
Simpliaxis
Centro Universitário Geraldo Di Biase (UGB-FERP)
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.
Haufe Akademie
Advanced prompting, project use cases, AI agents, skills and workflows; workbook and lifecycle applications.
ibo Akademie
Charter and goals, stakeholder analysis, risk, work breakdown and reporting; iboGPT or participant project.
Fundação Carlos Alberto Vanzolini
Seven modules span AI and professional prompting, PMBOK 8 tailoring and delivery approach, scope/requirements/backlog/WBS, risks and dynamic planning, stakeholder communication and monitoring, value/quality/benefits, and project closure/handover.
NAIT Corporate & Continuing Education
AI across project planning, execution, monitoring and close, with prompt engineering and ChatGPT applied to real-world PM challenges.
Dalhousie University Faculty of Open Learning and Career Development
AI basics/tools, project case studies, creating AI solutions, ethical use, and effects on resource allocation, scheduling and risk management.
KHMI
AI ideas, business cases, project plans, stakeholders, risks, Scrum, MVP and go-to-market.
GPM Deutsche Gesellschaft für Projektmanagement e. V., Regionalgruppe Karlsruhe
Participants compare a human status report, an AI draft and a human-revised AI result, verify claims against sources, assess quality and corrections, then design and peer-review an AI task-fit test for one of their own project tasks.
Global Knowledge / Skillsoft
AI/ML lifecycle and terminology, scoping and planning, data requirements, team roles, risk, stakeholder communication, MLOps, deployment, feasibility/resources and technical/business metrics.
Project Management Institute
Project Management Institute
Centrum PUCP, Educación Continua
British Academy for Artificial Intelligence
Select ML approaches and risk tools, integrate risk analysis into projects and compare no-code/Python options; ChatGPT risk communication is one topic.
Shannon Schweser (Maven)
AI patterns, lifecycle governance, bias/risk scenarios, exam decision tactics and mock-result analysis.