Generative AI is rapidly transforming how project managers plan, monitor, and deliver complex initiatives. As organizations increasingly adopt AI project management tools, project professionals must learn how to use AI for project management to improve efficiency, enhance decision-making, and deliver projects more predictably.

AI for Project Managers: Prompt Engineering & Use Cases

AI for Project Managers: Prompt Engineering & Use Cases


Instructors: Ahmed Hassan
Access provided by TECNOLÓGICO DE MONTERREY
Recommended experience
What you'll learn
Core technologies behind generative AI, including LLMs, natural language processing, and predictive analytics.
High-value use cases for AI in project management across the project lifecycle: initiation, planning, execution, monitoring, and closing.
How GenAI tools assist with common project management activities such as generating charters, meeting summaries, and status reports.
Prompt engineering techniques for interacting effectively with AI tools for project management and generating reliable outputs.
Skills you'll gain
- Change Requests
- Project Portfolio Management
- Artificial Intelligence
- Project Documentation
- Continuous Delivery
- Prompt Engineering Tools
- Strategic Prioritization
- Portfolio Management
- Prompt Patterns
- Project Management Office (PMO)
- Resource Allocation
- Risk Management
- Project Risk Management
- Project Implementation
- Project Management
Tools you'll learn
Details to know

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August 2026
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There are 2 modules in this course
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