PMI-CPMAI : PMI Certified Professional in Managing AI

Module 1: The Need for AI Project Management

• Discover why AI projects struggle, how iterative delivery supports success, and how CPMAI ensures ethical, effective outcomes.

Module 2: Matching AI with Business Needs (Phase I)

• Align AI solutions and strategy to real business needs, assess feasibility, define ROI, and set clear project scope.

Module 3: Identifying Data Needs for AI Projects (Phase II)

• Select the right data, ensure compliance, and build the infrastructure to support AI, laying the groundwork for effective AI data management across the project lifecycle.

Module 4: Managing Data Preparation Needs for AI Projects (Phase III)

• Transform raw data into AI-ready inputs through quality checks, augmentation, and compliance controls.

Module 5: Iterating Development and Delivery of AI Projects (Phase IV)

• Build and validate models, from machine learning to generative AI.

Module 6: Testing & Evaluating AI Systems (Phase V)

• Test and monitor AI models, address drift, and ensure results are reliable, explainable, and aligned with goals.

Module 7: Operationalizing AI (Phase VI)

• Operationalize AI responsibly, manage governance, and plan for continuous improvement.