COURSE OVERVIEW
PM0661 : PMI Certified Professional in Managing AI (PMI-CPMAI) (PMI-CPMAI Exam Preparation Training)
OVERVIEW
| COURSE TITLE | : | PM0661 : PMI Certified Professional in Managing AI (PMI-CPMAI) (PMI-CPMAI Exam Preparation Training) |
| COURSE DATE | : | Dec 14 - Dec 18 2025 |
| DURATION | : | 5 Days |
| INSTRUCTOR | : | Dr. Chris Le Roux |
| VENUE | : | Dubai, UAE |
| COURSE FEE | : | $ 5500 |
| Register For Course Outline | ||
Course Description
This practical and highly-interactive course includes various practical sessions and exercises. Theory learnt will be applied using our state-ofthe-art simulators. This course is designed to provide participants with a detailed and up-to-date overview of PMI Certified Professional in Managing AI (PMI-CPMAI). It covers the role of AI in modern project management, types of AI and key AI capabilities relevant to project delivery; the PMI CPMAI certification framework and AI project ecosystem & stakeholders; the AI strategy and business integration, AI lifecycle fundamentals and AI tools and platforms; and the AI project initiation and planning, AI data strategy and architecture and risk management in AI projects. Further, the course will also discuss the AI ethics and responsible AI, AI procurement and vendor management and AI project scheduling and budgeting; the AI model development, data engineering for AI projects, quality assurance and testing in AI and deployment and integration strategies; the technical debt in AI projects and communication between PMs and data teams; and the organizational change and AI adoption, AI governance models and AI regulatory and legal landscape.
During this interactive course, participants will learn the AI model development, data engineering for AI projects, quality assurance and testing in AI and deployment and integration strategies; managing technical debt in AI projects and communicating between PMs and data teams; and the organizational change and AI adoption, AI governance models and AI regulatory and legal landscape.
link to course overview PDF
During this interactive course, participants will learn the AI model development, data engineering for AI projects, quality assurance and testing in AI and deployment and integration strategies; managing technical debt in AI projects and communicating between PMs and data teams; and the organizational change and AI adoption, AI governance models and AI regulatory and legal landscape.
TRAINING METHODOLOGY
This interactive training course includes the following training methodologies:
LecturesPractical Workshops & Work Presentations
Hands-on Practical Exercises & Case Studies
Simulators (Hardware & Software) & Videos
In an unlikely event, the course instructor may modify the above training methodology for technical reasons.
VIRTUAL TRAINING (IF APPLICABLE)
If this course is delivered online as a Virtual Training, the following limitations will be applicable:
| Certificates | : | Only soft copy certificates will be issued |
| Training Materials | : | Only soft copy materials will be issued |
| Training Methodology | : | 80% theory, 20% practical |
| Training Program | : | 4 hours per day, from 09:30 to 13:30 |
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