Certified AI Program Manager (C|AIPM)
Build practical Certified AI Program Manager (C|AIPM) capability through 20 structured EC-Council modules with source-aligned topics, practical activities, and implementation guidance.
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
The Certified AI Program Manager (C|AIPM) course is a comprehensive online training program designed for program managers, project managers, PMO professionals, AI product managers, digital transformation leaders, business analysts, solution architects, technology managers, enterprise architects, consultants, innovation leaders, and executives responsible for planning, governing, and delivering Artificial Intelligence initiatives. This course provides participants with a structured understanding of AI program management principles, enabling them to successfully manage enterprise AI programs from strategy and business case development through implementation, governance, deployment, adoption, and continuous optimization. Learners will explore AI strategy, portfolio management, business value realization, AI governance, responsible AI, risk management, stakeholder engagement, Agile AI delivery, data management, machine learning lifecycle, Generative AI implementation, budgeting, vendor management, compliance, cybersecurity, change management, performance measurement, and enterprise AI adoption. The curriculum also covers AI operating models, cloud AI platforms, AI ethics, regulatory requirements, business process transformation, AI Centers of Excellence (CoE), innovation management, and organizational readiness. Through practical workshops, enterprise case studies, implementation roadmaps, and real-world AI program scenarios, participants will develop the leadership and management skills required to successfully plan, execute, monitor, and govern enterprise AI initiatives while preparing for Certified AI Program Manager (C|AIPM) certification.
What You Will Learn
- Introduction to AI Program Management
- AI Strategy and Business Alignment
- AI Governance Frameworks
- AI Portfolio and Program Management
- AI Project Lifecycle
- Data Strategy and Management
- Machine Learning and Generative AI
- AI Risk Management
Curriculum
- 1 Section
- 20 Lessons
- 40 Hours
- Certified AI Program Manager (C|AIPM) Curriculum20 Items
- 1.1Introduction to AI Program Management2 hours
- 1.2AI Strategy and Business Alignment2 hours
- 1.3AI Governance Frameworks2 hours
- 1.4AI Portfolio and Program Management2 hours
- 1.5AI Project Lifecycle2 hours
- 1.6Data Strategy and Management2 hours
- 1.7Machine Learning and Generative AI2 hours
- 1.8AI Risk Management2 hours
- 1.9Responsible AI and Ethics2 hours
- 1.10Regulatory Compliance2 hours
- 1.11Agile AI Delivery2 hours
- 1.12Stakeholder and Change Management2 hours
- 1.13Budgeting and Financial Management2 hours
- 1.14Vendor and Technology Management2 hours
- 1.15Cybersecurity and Privacy2 hours
- 1.16AI Performance Measurement2 hours
- 1.17AI Center of Excellence (CoE)2 hours
- 1.18Enterprise AI Implementation2 hours
- 1.19Enterprise Case Studies and Practical Workshops2 hours
- 1.20Certification Preparation and Final Review2 hours
Surya
Surya is a highly experienced AI Program Manager, Digital Transformation Consultant, Enterprise Solution Architect, and Corporate Trainer with 16+ years of professional experience in Artificial Intelligence (AI), Generative AI, Machine Learning (ML), enterprise program management, cloud technologies, digital transformation, and strategic technology consulting. Throughout his career, he has successfully led enterprise-wide AI initiatives, managed complex digital transformation programs, and delivered executive-level AI training for organizations across banking, healthcare, manufacturing, retail, telecommunications, insurance, logistics, energy, government, and technology sectors.
As a corporate trainer, Surya has trained thousands of professionals, including project managers, PMO leaders, AI practitioners, business analysts, product managers, technology consultants, solution architects, and senior executives. His training methodology combines internationally recognized project management practices with practical AI implementation strategies, helping participants successfully manage AI programs from business case development through deployment, governance, adoption, and value realization.
Professional Summary
- 16+ years of experience in Artificial Intelligence, enterprise program management, cloud computing, digital transformation, and business strategy.
- Extensive expertise in managing enterprise AI programs, Generative AI initiatives, machine learning projects, and intelligent automation implementations.
- Proven experience delivering AI transformation programs using Agile, Scrum, DevOps, MLOps, and hybrid project management methodologies.
- Strong background in AI governance, responsible AI, enterprise architecture, risk management, data governance, cloud AI platforms, and business process optimization.
- Successfully delivered instructor-led online and corporate training programs for multinational enterprises, government organizations, consulting firms, and technology companies.
- Recognized for delivering highly engaging, practical, and business-focused AI training supported by enterprise case studies, implementation workshops, and real-world scenarios.
Core Areas of Expertise
- Certified AI Program Management (C|AIPM)
- Artificial Intelligence Strategy
- Generative AI and Large Language Models (LLMs)
- Machine Learning Project Management
- AI Governance and Responsible AI
- Enterprise Digital Transformation
- AI Portfolio and Program Management
- Agile, Scrum, and Hybrid Delivery Models
- MLOps and AI Lifecycle Management
- AI Risk Management
- AI Compliance and Regulatory Governance
- Cloud AI Platforms (Microsoft Azure AI, AWS AI, Google Cloud AI, SAP Business AI)
- Data Governance and Analytics
- Business Process Automation
- Executive AI Strategy and Innovation
Professional Experience
- Surya has successfully managed multiple enterprise AI transformation programs involving intelligent automation, predictive analytics, conversational AI, computer vision, recommendation systems, document intelligence, and Generative AI solutions. He has collaborated with executive leadership, business stakeholders, data scientists, engineers, cybersecurity teams, and cloud architects to ensure AI initiatives deliver measurable business value.
- He has led AI strategy engagements focused on identifying high-value AI use cases, developing implementation roadmaps, establishing governance frameworks, and creating AI Centers of Excellence (CoEs). His expertise includes aligning AI investments with business objectives, developing business cases, defining success metrics, and managing enterprise AI portfolios.
- Surya has extensive experience overseeing AI project lifecycles, including requirements gathering, solution architecture, data readiness, model development, testing, deployment, user adoption, performance monitoring, and continuous optimization. He has managed cross-functional teams using Agile and Scrum methodologies to accelerate AI delivery while maintaining quality and governance standards.
- His consulting experience includes implementing responsible AI frameworks covering fairness, transparency, explainability, accountability, human oversight, privacy, and regulatory compliance. He has helped organizations establish AI governance policies, risk management processes, and ethical AI practices aligned with global standards.
- Surya has worked with leading cloud platforms and enterprise AI ecosystems, integrating AI services into business applications, deploying AI-powered automation, implementing predictive analytics, and enabling enterprise-wide adoption of Generative AI technologies.
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