Cognitive Project Management in AI (CPMAI) - Virtual Learning
Course Methodology
This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding and retention of the information presented. The facilitator will introduce each of the core topics using a lecture format. Presentations are supported by reinforcement exercises to emphasize the application of theory in real-world project settings. Peer learning is promoted as delegates are encouraged to discuss how techniques may apply within their own environments.
Course Objectives
At the end of this Cognitive Project Management in AI (CPMAI) training course, you will learn to:
- Understand the CPMAI™ framework and AI project lifecycle.
- Identify and evaluate AI business opportunities and use cases.
- Manage AI project scope, risks, governance, and ROI.
- Manage the 6 phases of the CPMAI™ and apply Better Governance
- Develop AI performance metrics, KPIs, and monitoring mechanisms.
Target Audience
This Gulf Rowad Cognitive Project Management in AI (CPMAI) training course is suitable for a wide range of professionals but will greatly benefit:
- Project Managers and PMO Professionals
- AI Program and Product Managers
- Digital Transformation Leaders, IT and Technology Managers
- Data Governance Professionals, Business Analysts and Solution Architects
- Risk, Compliance, and Governance Teams
- Strategy, Engineering and Technical Managers
- Consultants managing AI initiatives
Target Competencies
Organisational Impact
The Organisation will have the following benefits;
- Better governance and control of AI initiatives leading to improved success rates.
- Enhanced AI risk management and regulatory compliance.
- Stronger alignment between AI initiatives and business strategy as well as operation teams
- Improved AI organizational AI maturity, AI operational readiness and sustainability.
- Improved AI ethics, transparency, and accountability.
Personal Impact
At the end of this Cognitive Project Management in AI (CPMAI) training course, the participants will gain the following;
- Practical understanding of managing AI projects end-to-end aligned with CPMAI™.
- Improved strategic and technical decision-making skills.
- Better understanding of AI data and model lifecycle management.
- Increased professional value in AI transformation programs.
- Exposure to industry best practices in responsible AI management.
Course Outline
Cognitive Project Management in AI (CPMAI)
- Introduction to AI, Machine Learning, and Cognitive Technologies
- Differences Between Traditional Projects and AI Projects
- Overview of CPMAI™ Methodology and AI Project Lifecycle
- Responsible and Trustworthy AI Principles
- AI Governance, Ethics, Transparency, and Explainability
- AI Privacy, Security, and Data Protection Regulations (GDPR, CCPA)
Identifying AI Business Needs and AI-Project Planning
- Identifying AI Opportunities and Business Problems
- Stakeholder Analysis, Personas, Use Cases and Change Management
- AI Feasibility Assessment and Organizational Readiness
- AI Risk Assessment, Project Scope and Success Criteria
- ROI Analysis, Business Case Development, and Cost-Benefit Analysis
- AI Solution Architecture, Integration Planning and Resource Planning
AI Data Management and Data Readiness
- Understanding AI Data Requirements, Types and Governance
- Identifying Data Sources and Data Collection and Data Validation
- Data Privacy, Compliance, and Access Management
- AI Workspace Setup and Infrastructure Readiness
- Data Evaluation, Exploratory Analysis, and Bias Detection
- Data Readiness Assessment and Go/No-Go Decisions
- Communicating Data Readiness to Leadership
AI Model Development, Training, and Evaluation
- AI/ML Algorithms and Model Selection Techniques
- Supervised, Unsupervised, and Reinforcement Learning Overview
- Data Preparation, Cleaning, and Feature Engineering
- Model Training, Validation, AI Model QA/QC and Configuration Management
- AI Performance Metrics, Benchmarking and Model Explainability and Interpretability
- Go/No-Go Decision Criteria for Operationalization
AI Deployment, Governance, and Operationalization
- AI Solution Deployment Planning, Execution and Organizational Integration
- Monitoring Model Drift and Performance Degradation
- KPI Dashboards and AI Performance Monitoring
- AI Incident Management, Contingency Planning and Transition to Operations
- Lessons Learned, Knowledge Transfer, Final Reporting and Continuous Improvement
2026 Schedule & Fees
| Date | City | Language | Price | Action |
|---|---|---|---|---|
| 28 Jun - 02 Jul, 2026 | Online | English | USD 2,000 | Book |
| 28 Jun - 02 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | English | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | English | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | English | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | English | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | English | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | English | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | English | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | English | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | English | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | English | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | English | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | English | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | English | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | English | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | English | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | English | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | English | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | English | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
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