Your PMP Didn't Train You for This.

Problem:

AI projects are the most strategically complex initiatives organizations have ever attempted. They're not IT projects. They're not traditional software implementations. They require a different kind of leadership and a completely different PM skillset.

Here's what most AI project managers are dealing with right now:

• Handed an AI initiative with no clear definition of success from leadership
• No governance model for AI-specific decisions for who approves the model? Who owns the data?
• Vendor relationships that are impossible to manage without understanding AI delivery cycles
• Risk registers built for construction schedules and software launches, not algorithmic failure
• Stakeholders who either over-trust the AI or don't trust it at all
• and no framework to manage either

This isn't a skills problem. It's a training gap.

Nobody was taught how to manage AI projects strategically. The PMP covers project delivery. The data science certifications cover the technology. There is no certification that lives in the gap between them.

Until now.

Solution:

Introducing: SAIPM-CP - Strategic AI Project Management Certified Practitioner

The first certification program designed specifically for project managers and PMO professionals who need to lead AI initiatives not just participate in them.

Built on the ALIGN360-AI framework. Grounded in real-world AI delivery. Taught by a PMP and combat-tested project manager who has run multimillion-dollar programs across various sectors.

What You Will Learn:

Master the complete ALIGN360-Ai Framework (Outcome-Aligned Strategic AI System) and become a certified AI project management professional.

Over two intensive days, you’ll learn how to lead AI initiatives with clarity, strategy, and measurable business value. This program goes beyond theory and gives you the exact tools, frameworks, and leadership skills needed to deliver AI projects that work in the real world.

Module 1A 

Welcome & Align-AI Framework

Module 1B 

AI Foundations for Project Managers

Module 2

Phase 1: Align AI initiatives to executive strategy and organizational priorities

Module 3

Phase 2: Map business value, determine ROI, develop business case, and translate it into clear AI opportunities

Module 4A

Phase 3: Assess data readiness & risks

Module 4B

Phase 3: Bias, Fairness and Governance

Module 5

Phase 4: Build solution strategies and delivery roadmaps

Module 6

Phase 5: Form high-performing cross-functional AI project teams, execute AI work iteratively while staying aligned to outcomes 

Module 7A

Phase 6: Deploy and sustain AI systems using MLOps and model monitoring