This certification program is a 3-day, hands-on training designed to equip project management professionals with the practical skills to apply artificial intelligence (AI) across every phase of the project lifecycle — from planning and monitoring/risk through to data-driven decision-making — using a LEARN – PRACTICE – APPLY approach in which every module is reinforced with real tools and produces a ready-to-use deliverable, culminating in a capstone project that demonstrates the participant's ability to integrate AI into an end-to-end project management workflow.
Certified Professional in AI-Driven Project Management (CPAI-PM)
Target Audience
This program is designed for:
- Project Managers, Program Managers, and PMO staff who want to apply AI tools directly to planning, monitoring, risk, and reporting.
- Team Leads and Functional Managers who oversee project deliverables and need faster, data-backed decision-making.
- Senior Project Coordinators / Assistant PMs preparing to step into full project ownership roles.
- Business Analysts and Consultants working closely with project teams on scope, forecasting, or reporting.
- Professionals from any industry.
Duration
This program is a 3-day intensive training class.
Method of Delivery
The program will be delivered through interactive presentation by professional instructor(s), live AI tool demonstrations, hands-on individual and group exercises, case studies, group debriefs, one-to-one and group discussion, and a capstone project.
- Format: Multiple Choice
- Questions: 50
- Language: English
- Passing Score: 40/50 or 80%
- Duration: 60 minutes
- Open Book: No
- Delivery: This exam is available online
- Supervised: It will be at the Partner's discretion
Participants who pass the exam will be awarded with Certified Professional in AI-Driven Project Management (CPAI-PM) certification from Logical Operations.
By the end of the program, participants will be able to:
- Understand the concept and ecosystem of AI tools for project management
- Build an AI-assisted WBS, timeline, and resource plan
- Apply predictive analytics and early-warning indicators for project monitoring
- Analyze project risk using AI and automated dashboards
- Make strategic, data-driven decisions using forecasting and scenario planning
- Integrate AI tools into everyday project management workflows