Course Overview
The AI+ Program Director Practitioner certification equips you with the skills to design, implement, and oversee AI-driven initiatives across your organization. Through this certification, you build strategic expertise in AI governance, project planning, ethical deployment, and cross-functional coordination, enabling you to confidently shape enterprise-wide AI agendas. You use this foundation to lead multidisciplinary teams, ensure responsible and compliant AI adoption, and make informed executive-level decisions. The certification prepares you to optimize operations, champion innovation, and guide your organization through successful AI transformation in a structured, impact-focused way.
This certification will cover:
- Foundations of AI for Program Strategy – Introduction
- Identifying AI Opportunities & Use Cases
- Governance & Ethics in AI
- AI Project Lifecycle & Integration
- Data Strategy & Infrastructure for AI
- AI Integration: Build vs Buy vs Partner
- AI Risk Management & Compliance
- AI Tools & Techniques for Project Management
- Leadership in AI
- Scaling AI Initiatives
- Future Trends in AI
- Capstone Project & Presentation
Who should attend
- AI / Digital Transformation Leaders: Professionals leading AI, data, or digital transformation initiatives who need a structured framework for program-level AI adoption.
- Program & Project Managers: Managers overseeing complex, multi-team initiatives who want to scale from project management to AI program leadership.
- Business & Strategy Leaders: Directors, GMs, and strategy leaders looking to translate AI opportunities into measurable business outcomes and ROI.
- Governance, Risk & Compliance Professionals: Individuals responsible for AI risk, ethics, privacy, or policy who want to operationalize responsible AI at scale.
- Consultants & Advisors: Consultants supporting clients on AI transformation and needing an end-to-end blueprint for AI program design and execution
Prerequisites
- AI Fundamentals – Familiarity with core AI and machine learning concepts, terminology, and common use cases.
- Project Management Experience – Background in managing projects, timelines, resources, and key stakeholders.
- Business Strategy Awareness – Ability to interpret KPIs, link initiatives to business goals, and support strategy execution.
- Governance & Compliance Knowledge – Working understanding of data privacy, risk management, and regulatory requirements.
- Leadership & Change Management – Comfort leading cross-functional teams and driving organizational change initiatives.
Course Objectives
- Identify High-Value AI Opportunities: Learn to spot impactful use cases, assess feasibility, and build strong business cases aligned with organizational goals.
- Strengthen AI Program Execution Capabilities: Develop skills to manage AI lifecycles, evaluate data readiness, and oversee governance for responsible, scalable implementation.
- Evaluate Vendors and Solution Pathways: Grasp how to compare build-vs-buy options, assess vendor proposals, and choose solutions that meet strategic and technical requirements.
- Coordinate Stakeholders and Drive Change: Apply effective communication and change-management strategies to align teams and support enterprise-wide AI adoption.
- Ensure Responsible and Compliant AI Deployment: Equip yourself to address risk, identify bias, and navigate regulatory expectations while delivering measurable AI outcomes.
Course Content
- Foundation of AI for Program Strategy – Introduction
- Identifying AI Opportunities & Use Cases
- Governance & Ethics in AI
- AI Project Lifecycle & Integration
- Data Strategy & Infrastructure for AI
- AI Integration: Build vs Buy vs Partner
- AI Risk Management & Compliance
- AI Tools & Techniques for Project Management
- Leadership in AI
- Scaling AI Initiatives
- Future Trends in AI
- Capstone Project & Presentation