PMI-CPMAI Certified Professional in Managing AI Certification Training - Self-Paced E-Learning Course
Learn PMI-CPMAI at your own pace with HD video lectures, 500+ practice questions, downloadable cheat sheets and mentor support, fully aligned with PMI Authorised, CPMAI methodology aligned.
What's Inside the PMI-CPMAI E-Learning Program
Self-Paced HD Video Library
On-demand access to full curriculum recordings, organised module by module.
Practice Tests with Explanations
Hundreds of exam-style questions with detailed rationales for every answer.
Downloadable Study Resources
PDF formula sheets, mind maps, glossaries and process charts to revise offline.
Mobile + Desktop Access
Learn on iOS, Android, tablet or laptop. Pick up exactly where you left off.
Mentor Support on Demand
Email and chat support from certified instructors for doubt resolution.
Certificate of Completion
Earn a verifiable Learners Ink certificate to attach to your application.
PMI-CPMAI Self-Paced Curriculum
Modular content mapped to PMI Authorised, CPMAI methodology aligned. Watch on any device, revisit any chapter, anytime.
Module 1: AI Foundations for Project Leaders
- What AI actually is and is not
- Supervised, unsupervised and reinforcement learning
- Deep learning and neural networks in plain language
- Large language models, embeddings and RAG
- Agentic AI patterns and tool use
- Where generative AI helps and where it fails
Module 2: CPMAI Phase I, Business Understanding
- Business problem vs AI problem
- Success criteria and decision impact
- Stakeholder alignment on the outcome
- Value, feasibility, data readiness and risk scoring
- Build, buy or fine-tune decisions
- Killing bad use cases early
Module 3: CPMAI Phase II, Data Understanding
- Internal, external, synthetic and purchased data
- Access, licensing and consent constraints
- Data lineage and provenance
- Completeness, accuracy, consistency, timeliness
- Volume and representativeness for the chosen pattern
- Detecting bias in the source data
Module 4: CPMAI Phase III, Data Preparation
- Cleaning, de-duplication and normalisation
- Handling missing and imbalanced data
- Transformation pipelines and reproducibility
- In-house vs outsourced labelling
- Annotation guidelines and inter-rater agreement
- Cost and schedule estimation for labelling
Module 5: CPMAI Phase IV and V, Model Development and Evaluation
- Experiment tracking and iteration cadence
- Baselines and stopping criteria
- Working with data scientists and ML engineers
- Accuracy, precision, recall, F1 and AUC
- Confusion matrix interpretation for business decisions
- Choosing the metric that matches the business risk
Module 6: CPMAI Phase VI, Operationalisation
- Batch, real-time and embedded deployment
- Shadow mode, canary and phased rollout
- Integration with existing business processes
- Model drift, data drift and concept drift
- Monitoring, alerting and retraining triggers
- Versioning, rollback and model decommissioning
Module 7: AI Governance, Responsible AI and Exam Strategy
- AI governance boards and decision rights
- AI portfolio prioritisation and funding gates
- Model risk management frameworks
- EU AI Act risk tiers and obligations
- Sector regulation in finance, health and public sector
- Audit trails and documentation requirements
Who This Program Is For
- Project Manager
- Program Manager
- Product Owner
- Data and Analytics Lead
- AI Product Manager
- Technology Manager
What You'll Achieve
- AI Literacy for Managers
- Use Case Qualification
- Data Readiness Assessment
- Six-Phase Iterative Delivery
- AI Business Case and ROI
- Responsible and Ethical AI
- Model Evaluation Literacy
- Generative AI Delivery
Frequently Asked Questions
Start Your PMI-CPMAI Journey Today
Instant access, 12 months to complete, mentor support throughout. Enrol and start learning in under 5 minutes.