Andy Voonn
A great starting point is to take advantage of the PMI AI courses already available to all members. PMI currently offers four concise, high-value courses designed specifically for project professionals:
1. Generative AI Overview for Project Managers
2. Data Landscape of GenAI for Project Managers
3. Talking to AI: Prompt Engineering for Project Managers
4. Practical Application of Generative AI for Project Managers
These are excellent entry points that build a practical foundation and a shared language across the PMI community.
Beyond those, here are my top 3 core skills for PMs who want to step confidently into the AI domain:
1. Understanding how AI and ML work, conceptually, not just technically.
Knowing the basics of algorithms, neural networks, and NLP helps project managers communicate effectively with data teams and make better risk and scope decisions.
2. Data literacy and data governance.
AI is only as strong as the quality of the data it uses.
Understanding data flows, feature design, and ethical data practices enables PMs to manage AI initiatives with integrity and confidence.
3. Interpreting AI outputs and metrics.
Being able to question model results, identify bias, and translate technical performance into business or ethical implications is a true differentiator for modern PMs.
And finally, learn by doing.
Try small experiments with generative AI tools, low-code platforms, or even AI copilots in your daily PM tasks.
Each experiment expands your capability to lead hybrid (human + AI) teams more effectively.
In short: start with PMI’s learning path, deepen your systems and data understanding, and keep experimenting.
That’s how project managers grow from using AI to leading with AI.
Community Champion
