PMI-CPMAI™ Certification Course

Phase 1: Business Understanding

• Define business objectives and success criteria.
• Identify stakeholders and project scope.
• Assess AI project feasibility.
• Align AI initiatives with business goals.

Phase 2: Data Understanding

• Identify and collect relevant data sources.
• Evaluate data quality and readiness.
• Perform exploratory data analysis.
• Understand data governance considerations.

Phase 3: Data Preparation

• Clean, transform, and prepare data.
• Feature engineering and data processing.
• Establish data pipelines.
• Ensure data quality and consistency.

Phase 4: Model Development

• Select appropriate Machine Learning techniques.
• Train and validate AI models.
• Evaluate model performance.
• Optimize models for business requirements.

Phase 5: Deployment

• Deploy AI models into production environments.
• Integrate AI solutions with business applications.
• Manage implementation risks.
• Establish monitoring processes.

Phase 6: Monitoring and Maintenance

• Monitor model performance and drift.
• Manage updates and retraining.
• Measure business outcomes.
• Continuously improve AI solutions.

Training Eligibility

• There are no mandatory prerequisites to attend the PMI-CPMAI training program.
• Anyone interested in managing AI and Machine Learning projects can enroll.

Recommended Knowledge

• Project Management concepts.
• Artificial Intelligence and Machine Learning fundamentals.
• Business analysis concepts.
• Data-driven decision-making processes.
• No prior hands-on AI experience is mandatory.