PMI-CPMAI™ Certification | Responsible AI & AI Governance Training

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Curriculum

1

Oversee privacy and security plan

2

Manage AI/ML transparency (data, algorithm)

3

Conduct bias checks (model, data, algorithm)

4

Monitor regulatory and policy compliance

5

Manage accountability documentation and audit trail

1

Identify problem to be solved (needs, persona)

2

Evaluate initial AI feasibility

3

Conduct risk assessment(s) (security, safety, ethics)

4

Develop AI project scope statement

5

Determine ROI

6

Manage adoption/integration risks

7

Draft AI solution

8

Define success criteria (KPIs, metrics)

9

Support business case creation

10

Identify project resources (people, hardware)

1

Define required data

2

Identify data SMEs

3

Identify data sources and locations

4

Coordinate AI workspace and infrastructure

5

Gather required data

6

Check data privacy, compliance, and access

7

Oversee data evaluation

8

Determine if data meets solution needs

9

Convey data understanding to leadership

1

Oversee AI/ML model technique selection

2

Oversee AI/ML model QA/QC

3

Manage AI/ML model training

4

Manage data transformation for data preparation

5

Verify data quality for go/no-go decision

6

Verify model ready for operationalization

1

Manage creation of AI solution deployment plan

2

Manage AI solution deployment

3

Oversee model governance

4

Oversee AI solution metrics (KPI, model performance)

5

Prepare final report/lessons learned

6

Manage AI solution transition plan

7

Oversee AI solution contingency plan

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Our Trainers

Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.

We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.

Our Trainers

Learning Outcomes

After completing this training program, you will be able to:

1

Apply responsible AI governance frameworks across enterprise AI initiatives

2

Evaluate AI risks, compliance requirements, and governance obligations confidently

3

Drive stakeholder adoption through structured AI change management strategies

4

Measure AI performance, ROI, and business value realisation effectively

5

Lead human-AI collaboration for accountable decision-making and oversight

6

Support enterprise AI transformation with scalable governance and leadership practices

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Frequently asked questions

The PMI CPMAI Certification covers the essential capabilities required to manage and govern AI initiatives within modern organizations. Participants gain practical knowledge of AI foundations and strategy, business alignment, responsible AI, AI governance frameworks, and AI initiative management. This helps them connect AI investments with measurable business objectives.

This program also explores AI risk management, compliance, human-AI collaboration, stakeholder engagement, AI adoption, value realisation, performance measurement, and enterprise AI transformation. Through case studies, simulations, and scenario-based learning, participants develop the expertise needed to support responsible AI implementation and drive sustainable business outcomes from AI initiatives.

Professionals responsible for managing or governing AI initiatives can benefit significantly from this training. The program helps strengthen expertise in AI governance, responsible AI, and enterprise AI transformation.

The ideal candidates are:

Project Managers and Program Managers
Digital Transformation and Innovation Professionals
Business Leaders and Functional Managers
Technology and AI Professionals
Risk, Compliance, and Governance Professionals
Strategy and Change Management Professionals

This course develops practical capabilities required to manage AI initiatives within enterprise environments. Participants gain a balanced understanding of AI governance, strategy, risk management, adoption, and value realisation.

These are the skills you develop after the course:

AI Governance and Responsible AI leadership for ethical and accountable AI management.
AI Strategy Development and Business Alignment to connect AI initiatives with organizational goals.
AI Initiative Management skills for planning, oversight, and successful AI delivery.
AI Risk, Compliance, and Trust Management to address governance and regulatory challenges.
Stakeholder Engagement and AI Adoption skills for driving organizational acceptance and change.
AI Value Realisation and Performance Measurement to evaluate ROI and business outcomes.

This certification helps organizations manage AI successfully by developing professionals who can align AI initiatives with business objectives while maintaining strong AI governance, responsible AI practices, stakeholder engagement, and risk oversight. This creates a structured approach to AI adoption that supports both innovation and accountability.

Participants learn how to manage AI strategy, compliance, value realisation, organizational adoption, and performance measurement. By strengthening governance frameworks and business alignment, this certification helps improve AI implementation success, stakeholder confidence, and long-term business value from AI investments.

Yes. A dedicated part of the PMI CPMAI curriculum focuses on AI Value Realisation and Performance Measurement, helping participants evaluate whether AI initiatives are delivering meaningful business outcomes. This course covers ROI measurement, KPI development, benefits realisation, outcome tracking, and value optimisation techniques.

Participants learn how to assess the impact of AI investments, monitor performance indicators, and align AI-driven outcomes with organizational objectives. This enables them to support data-driven decision-making and show the business value, operational improvements, and measurable returns generated through successful AI adoption.

Yes. This course is designed with a strong practical focus and includes a variety of real-world case studies, governance workshops, AI adoption simulations, stakeholder engagement exercises, and scenario-based assessments. These activities help participants apply AI management concepts to realistic organizational challenges.

Participants also engage in AI governance exercises, value realisation workshops, transformation simulations, risk management discussions, and mock assessments. This hands-on approach helps participants confidently apply AI governance and AI initiative management practices in workplace environments.

Learners Point offers a structured learning experience that combines AI governance, responsible AI, AI strategy, AI adoption, and business value realisation within a single PMI-CPMAI™ training pathway. Participants benefit from a curriculum aligned with real-world enterprise AI challenges, helping them build practical capabilities that extend beyond theoretical knowledge.

This training incorporates case studies, governance workshops, AI adoption simulations, stakeholder engagement exercises, and assessments to strengthen workplace application. Participants gain hands-on exposure to managing AI initiatives and preparing for the PMI-CPMAI™ certification exam, making the learning both practical and career-focused.

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