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 Northwestern State University
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
- Portfolio Management
- Change Requests
- Project Implementation
- Prompt Engineering Tools
- Strategic Prioritization
- Project Management Office (PMO)
- Prompt Patterns
- Resource Allocation
- Project Documentation
- Project Portfolio Management
- Continuous Delivery
- Artificial Intelligence
- Risk Management
- Project Risk Management
- 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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