Home AI Courses Login
Contact
Project Management 4.9

PMI Certified Professional in Managing AI (PMI-CPMAI)™ Certification

The PMI-CPMAI™ (Certified Professional in Managing AI) Certification is a specialized program designed for professionals who want to successfully manage AI, Machine Learning, Advanced Analytics, and Intelligent Automation projects using the CPMAI™ (Cognitive Project Management fo...

  • Fully Aligned with the 2025 PMI-CPMAI™ Examination Content Outline
  • Structured Around the Five Official CPMAI™ Exam Domains
  • Covers Responsible, Ethical, and Compliant AI Governance
  • AI Business Case Development and ROI Analysis
Enroll Now View Curriculum
PMI Certified Professional in Managing AI (PMI-CPMAI)™ Certification

Enroll in Next Cohort

Join professionals upskilling with Edutech.

Hurry, Sale ends soon! 50% OFF
₹45,999 ₹91,998
  • Duration Flexible
  • Format Live + Recorded
  • Fully Aligned with the 2025 PMI-CPMAI™ Examination Content Outline
  • Structured Around the Five Official CPMAI™ Exam Domains
  • Covers Responsible, Ethical, and Compliant AI Governance
  • AI Business Case Development and ROI Analysis
Reserve My Seat Now

Overview

The PMI-CPMAI™ (Certified Professional in Managing AI) Certification is a specialized program designed for professionals who want to successfully manage AI, Machine Learning, Advanced Analytics, and Intelligent Automation projects using the CPMAI™ (Cognitive Project Management for AI) Methodology. Unlike traditional project management certifications, this course focuses specifically on managing AI initiatives from business problem identification and data preparation to model development, deployment, governance, and operationalization. Participants gain practical knowledge of responsible AI, AI governance, business case development, AI lifecycle management, and real-world AI project execution while preparing for the PMI-CPMAI™ certification exam.

Prerequisites

  • No prior AI experience required
  • No prior project management experience required
  • Suitable for early-career professionals and fresh graduates
  • Ideal for professionals transitioning into AI-related roles
  • Beneficial for project managers and business leaders expanding into AI initiatives

Key Features

  • Fully Aligned with the 2025 PMI-CPMAI™ Examination Content Outline
  • Structured Around the Five Official CPMAI™ Exam Domains
  • Covers Responsible, Ethical, and Compliant AI Governance
  • AI Business Case Development and ROI Analysis
  • End-to-End AI Lifecycle Management Skills
  • Practical AI Project Management Frameworks
  • Hands-On Exercises Including GPT Development, Embeddings, and Prompt Engineering
  • Designed to Support PMI-CPMAI™ Certification Success

Curriculum

Domain I:
Support Responsible and Trustworthy AI Efforts

Learn how to ensure responsible, ethical, secure, and compliant AI implementation across the AI lifecycle.

Topics

  • Privacy & Security Governance in AI
  • Data Governance for PII
  • AI Transparency & Explainability
  • Bias Detection & Mitigation Techniques
  • Regulatory & Policy Compliance (GDPR, CCPA, etc.)
  • AI Accountability & Audit Trails
  • Documentation & Version Control
Domain II:
Identify Business Needs and Solutions

Learn how to identify AI opportunities, evaluate feasibility, build strong business cases, and define measurable project success criteria.

Topics

  • Identifying AI Problems & Personas
  • Stakeholder Interviews & Use Case Mapping
  • AI Feasibility Assessment
  • Risk Assessment (Security, Ethics, Safety)
  • AI Project Scope Definition
  • ROI & Cost-Benefit Analysis
  • Managing Adoption & Integration Risks
  • Drafting AI Solution Architecture
  • Defining KPIs & Success Metrics
  • Resource Planning & Team Composition
Domain III:
Identify Data Needs

Understand how to define, evaluate, validate, and communicate data requirements necessary for AI model success.

Topics

  • Defining Data Requirements
  • Data Volume & Quality Standards
  • Identifying Data SMEs
  • Mapping Data Sources (Internal & External)
  • AI Infrastructure & Workspace Setup
  • Data Collection & Extraction
  • Data Privacy & Compliance Checks
  • Data Quality Assessment
  • Data Readiness Go/No-Go Decisions
  • Communicating Data Insights to Leadership
Domain IV:
Manage AI Model Development and Evaluation

Learn how to oversee AI model selection, training, validation, QA/QC, and readiness for operationalization.

Topics

  • Algorithm & Model Selection
  • Supervised vs Unsupervised vs Reinforcement Learning
  • Model QA/QC & Configuration Management
  • Model Performance Monitoring
  • Model Training & Hyperparameter Tuning
  • Data Preparation & Feature Engineering
  • Data Transformation Oversight
  • Model Validation & Testing
  • Go/No-Go Deployment Decisions
Domain V:
  • Operationalize AI Solution Understand how to deploy, monitor, govern, and transition AI solutions into production environments successfully.

Topics

• AI Deployment Planning
• Infrastructure & Integration Management

• AI Solution Deployment Execution

• Model Governance & Lifecycle Management

• KPI & Performance Monitoring

• Model Drift Detection

• Lessons Learned & Final Reporting

• Transition to Operations

• Contingency & Disaster Recovery Planning

Who Can Do

Ideal for
  • Project Managers
  • Program Managers
  • Product Managers
  • AI Project Managers
  • Business Analysts
  • Data Professionals
  • AI and Machine Learning Enthusiasts
  • Business Leaders
  • Technology Consultants
  • Early-Career Professionals
  • Career Transitioners Moving into AI Roles

FAQ

1. What is PMI-CPMAI™ certification?
PMI-CPMAI™ is a professional certification focused on managing AI, Machine Learning, Advanced Analytics, and Intelligent Automation projects using the CPMAI™ methodology. It validates your ability to manage AI initiatives from concept to production deployment.
2. How is PMI-CPMAI™ different from traditional project management certifications?
Unlike traditional project management certifications, PMI-CPMAI™ focuses specifically on AI project lifecycles, AI governance, data requirements, model development, AI deployment, and responsible AI practices.
3. Do I need AI experience before enrolling?
No. The course is designed for both beginners and experienced professionals. No prior AI or project management experience is required.
4. What practical skills will I gain?
You will learn AI project planning, AI governance, business case development, data readiness assessment, AI model management, deployment planning, risk management, and operationalization of AI solutions.
5. Does the course include hands-on learning?
Yes. The course includes practical exercises such as building a mini GPT model, generating embeddings, implementing cosine similarity search, and experimenting with prompt engineering techniques.
6. What are the key domains covered in the certification?
The course covers:
7. Who should take this certification?
Project managers, product managers, AI leaders, business analysts, technology consultants, and professionals looking to manage AI initiatives effectively will benefit from this certification.
8. What career opportunities can this certification support?
The certification can help professionals pursue roles such as AI Project Manager, AI Program Manager, Product Manager, AI Consultant, Business Transformation Lead, and AI Strategy Manager.
9. What are the benefits of earning PMI-CPMAI™ certification?
It helps professionals gain specialized AI project management skills, improve credibility in AI initiatives, apply vendor-neutral best practices, and demonstrate expertise in managing AI projects responsibly and effectively.
10. Is the certification recognized globally?
Yes. PMI-CPMAI™ is backed by the Project Management Institute (PMI) and is designed to address the growing demand for professionals capable of managing AI projects using structured methodologies and best practices

Related Programs

Explore more courses in Project Management.

View all Project Management courses
Enroll Now