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Half-Day (3-Hour) Management Module

• Background: Program and IT managers are tasked with delivering AI outcomes but attempt to use traditional Agile/Waterfall methods, increasing risk and uncertainty.
• Objective: To equip project and IT managers with a practical, structured understanding of the CPMAI methodology, including its key phases, common risks points, and essential governance checklists.
• Target Audience: IT Directors, Senior Project Managers, Program Managers, Innovation Leads.
• Class Size: Optimal 12 | Max 20
• Prerequisite: Experience managing IT or software development projects.
• Outcome: Participants will be able to navigate the AI project lifecycle, identify critical risk checkpoints, and apply phase-specific “Go/No-Go” criteria to ensure project alignment and viability.
• Core Content:
  • Why AI Projects Aren’t Software Projects: The data-centric, iterative reality.
  • CPMAI in Practice: Deep Dive into Phases I-III: Business Understanding, Data Understanding, Data Preparation.
  • The Art of the Possible: Matching business problems to the “Seven Patterns of AI”.
  • Strategic Risk Mitigation in AI Projects: Managing data governance, model drift, and stakeholder expectations.
  • Case Study Analysis: Applying CPMAI phases to a real-world project’s challenges.
  • Q&A with Consultant-level Facilitator.

Unique Value Proposition: This curriculum is exclusively delivered by our Official Experienced AI Practitioning Facilitator (Options: Professor level / Consultant level / Certified Trainer level), combining global best practices with real-world insight. This is strategic methodology training, not tool-based instruction.