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CAIPM: Certified Artificial Intelligence Program Manager

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CAIPM: Certified Artificial Intelligence Program Manager

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Course Information

Course Name

CAIPM: Certified Artificial Intelligence Program Manager

Exam code

312-41

Duration

3 Days

Certification

Overview

Certified AI Program Manager (C|AIPM) is EC-Council’s professional certification for people
responsible for owning AI decisions and driving execution: business, technology, data, and risk.

C|AIPM prepares you to:

  • Assess AI readiness across teams and processes
  • Design adoption and rollout roadmaps
  • Prioritize AI use cases tied to business outcomes
  • Coordinate delivery across cross-functional teams
  • Implement governance, Responsible AI, and security controls
  • Track performance and ROI to prove value

Certified AI Program Manager (C|AIPM) is not about building models. It is about making
AI work on an enterprise scale predictably, securely, and sustainably.

 

Skills This Program Validates

This credential validates your ability to own AI initiatives end-to-end

  • It validates mastery of decision framing and trade-off analysis for AI initiatives
  • It validates competency in ROI measurement and executive communication
  • It proves your ability to bridge technical execution with business strategy
  • It verifies your skills in governance, ethics, and risk management
Overview

Overview

Certified AI Program Manager (C|AIPM) is EC-Council’s professional certification for people
responsible for owning AI decisions and driving execution: business, technology, data, and risk.

C|AIPM prepares you to:

  • Assess AI readiness across teams and processes
  • Design adoption and rollout roadmaps
  • Prioritize AI use cases tied to business outcomes
  • Coordinate delivery across cross-functional teams
  • Implement governance, Responsible AI, and security controls
  • Track performance and ROI to prove value

Certified AI Program Manager (C|AIPM) is not about building models. It is about making
AI work on an enterprise scale predictably, securely, and sustainably.

 

Skills This Program Validates

This credential validates your ability to own AI initiatives end-to-end

  • It validates mastery of decision framing and trade-off analysis for AI initiatives
  • It validates competency in ROI measurement and executive communication
  • It proves your ability to bridge technical execution with business strategy
  • It verifies your skills in governance, ethics, and risk management

Audience Profile

This program is designed for professionals across security, IT, and business functions who want to
lead AI initiatives.

Prerequisites

 

At Course Completion

Course Outline

Build a strong foundation in AI, ML, and Generative AI, with a clear understanding of how AI differs from automation and analytics, how it is adopted in real businesses, and the trends shaping enterprise AI transformation.

What You will Learn:

  • Understand core AI concepts and business applications,
  • Learn the differences between AI, automation, and analytics
  • Identify AI capabilities, data dependencies, and failure modes
  • Learn the types of AI-ML, DL, Generative AI, and Agents
  • Apply AI project life cycle, MLOps, and DataOps
  • Analyze emerging AI trends and future opportunities.

Assess your organization’s readiness for AI adoption by evaluating strategy, data,
technology, workforce, and culture, while identifying capability gaps and adoption risks.

What You will Learn:

  • Assess AI readiness across key dimensions
  • Apply AI maturity models and benchmark capabilities
  • Conduct AI readiness assessments
  • Identify AI adoption risks

Identify, evaluate, and prioritize high-value AI use cases using structured discovery
methods, feasibility analysis, and value-based decision frameworks to maximize business impact.

What You will Learn:

  • Identify AI opportunities and assess business value
  • Prioritize use cases based on ROI and feasibility
  • Analyze build vs. buy vs. partner decisions for AI solutions

Define an AI strategy aligned with business vision and governance guardrails and build a prioritized roadmap to guide scalable and accountable AI adoption.

What You will Learn:

  • Develop AI strategy aligning with business goals
  • Create AI roadmaps with dependency mapping
  • Design AI operating models with clear roles and governance

Enable successful AI adoption by leading workforce change, building organizational
AI literacy, and applying proven change management frameworks to embed AI into
culture and daily operations.

What You will Learn:

  • Lead AI adoption with effective change management
  • Apply ADKAR and Kotter frameworks for AI initiatives
  • Build AI training programs and a learning culture

Understand enterprise AI platforms, tools, and ecosystems, and learn how to evaluate, select, and integrate AI solutions securely within organizational IT environments.

What You will Learn:

  • Evaluate AI platforms and tools for business fit
  • Integrate AI tools with enterprise systems
  • Ensure security and vendor maturity in AI tools

Design and implement AI governance, ethical guardrails, and compliance frameworks to ensure responsible, auditable, and mission ready AI adoption.

What You will Learn:

  • Establish AI governance policies and processes
  • Implement ethical AI practices with bias awareness
  • Navigate AI compliance and regulatory frameworks

Plan, execute, and scale AI pilots into enterprise deployments by applying structured governance, phased rollouts, and risk-aware
adoption strategies.

What You will Learn:

  • Design and execute AI pilots with success metrics
  • Manage phased rollouts and AI deployment readiness
  • Scale AI adoption and mitigate expansion risks
Course Price

RM4,700.00 exc. 8% tax

Training Dates
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Certification Details