AI+ Program Director – Practitioner™ – Course Outline
Program Overview
The AI+ Program Director – Practitioner™ certification is an advanced leadership program designed to equip senior professionals with the strategic, operational, and technological competencies required to lead complex programs in an AI-driven business environment. As organizations increasingly rely on Artificial Intelligence (AI) to optimize decision-making, automate operations, and drive innovation, Program Directors are expected to oversee portfolios of interrelated projects supported by intelligent systems.
This program focuses on integrating AI into program governance, strategic alignment, benefits realization, risk management, resource optimization, and performance tracking. Participants will learn how AI enhances program-level decision-making through predictive analytics, real-time dashboards, intelligent forecasting, and automated reporting systems.
The course bridges traditional program management disciplines with modern AI capabilities, enabling leaders to manage large-scale, multi-project environments more effectively. It emphasizes strategic leadership, digital transformation oversight, stakeholder management, and AI-enabled governance frameworks. By the end of the program, learners will be able to lead complex programs with confidence, leveraging AI to improve efficiency, transparency, and outcomes across enterprise-level initiatives.
Course Objectives
• Understand the role of Artificial Intelligence in program and portfolio management
• Lead and govern complex, multi-project programs using AI-driven insights
• Apply AI tools for strategic planning, forecasting, and benefits realization
• Utilize predictive analytics for program risk identification and mitigation
• Optimize resource allocation across multiple projects using AI systems
• Implement AI-powered dashboards for program performance tracking
• Strengthen stakeholder engagement through data-driven communication strategies
• Align program objectives with organizational digital transformation goals
• Evaluate AI-enabled program management platforms and governance tools
• Apply ethical, regulatory, and compliance frameworks in AI-driven programs
Target Audience
• Program Directors and Senior Program Managers
• Portfolio Managers and PMO Leaders
• Senior Project Managers transitioning into program leadership roles
• Heads of Transformation and Digital Strategy
• Business and Operations Directors
• Enterprise IT and Technology Leaders
• Strategy and Innovation Managers
• Government and large-scale public sector program leaders
• Experienced project managers seeking advancement into program leadership
• AI and data-driven professionals moving into leadership roles
Course Duration
• Instructor-led: 5 days (live or virtual delivery)
• Self-paced learning: 40 hours of structured content
Assessment
Assessment is designed to evaluate strategic thinking, leadership capability, and applied use of AI in program management:
• Module-based assessments to evaluate conceptual understanding
• Case study analysis of enterprise-level AI-driven program environments
• Strategic scenario planning exercises for multi-project coordination
• Practical assignments using AI-enabled program management tools
• Leadership simulations focused on stakeholder and risk management
• Final capstone project demonstrating AI-driven program governance and execution strategy
Certification
Upon successful completion of all assessments and the capstone project, participants will be awarded the AI+ Program Director – Practitioner™ Certification.
This certification validates the participant’s ability to lead complex programs in AI-enabled environments, applying strategic governance, data-driven decision-making, and advanced AI tools to improve enterprise program outcomes.
Training Methodology
The program follows a high-level, executive-focused and applied learning approach:
• Instructor-led executive training sessions (virtual or classroom-based)
• Strategic lectures combining program management leadership and AI transformation concepts
• Real-world enterprise case studies from large-scale organizations
• AI tool demonstrations for program governance, analytics, and reporting
• Scenario-based executive decision-making simulations
• Group discussions focused on strategic leadership and transformation challenges
• Capstone-driven learning approach for applied enterprise solutions
• Continuous engagement through peer learning, workshops, and strategic exercises
Course Modules
Module 1: Foundations of AI for Program Strategy
• Understanding AI, ML, and Deep Learning
• AI lifecycle and real-world applications
• Societal impact of AI
• Use case: AI triage system for emergency services
• Case study: Retail recommendation systems
• Hands-on: AI classifier using Teachable Machine
Module 2: Identifying AI Opportunities & Use Cases
• AI strategy frameworks (AI Canvas, Value vs Feasibility Matrix)
• Identifying AI-suitable processes
• Prioritization techniques (weighted scoring, risk-adjusted ROI)
• Use case: AI fraud detection in finance
• Case study: AI-driven project management systems
• Hands-on: AI opportunity prioritization using Trello
Module 3: Governance & Ethics in AI
• Responsible AI principles
• AI bias and risk mitigation
• Use case: Recruitment bias auditing
• Case study: Bias in credit scoring systems
• Hands-on: Fairness evaluation using Google What-If Tool
Module 4: AI Project Lifecycle & Integration
• AI project planning (CRISP-DM)
• Build vs buy vs partner decisions
• AI project management tools
• Use case: Predictive maintenance in manufacturing
• Hands-on: AI project simulation in Asana
Module 5: Data Strategy & Infrastructure for AI
• Data governance and quality
• AI data pipelines
• Sensitive data management
• Use case: AI-driven retail inventory optimization
• Case study: Healthcare data security in AI systems
• Hands-on: Data pipeline using Airbyte Cloud
Module 6: AI Integration – Build vs Buy vs Partner
• Evaluating AI solutions
• Vendor assessment and management
• Use case: Predictive maintenance vendor selection
• Hands-on: Vendor evaluation using Google Sheets
Module 7: AI Risk Management & Compliance
• Regulatory frameworks
• Bias detection and mitigation
• Use case: Facial recognition bias in law enforcement
• Case study: AI compliance in finance
• Hands-on: Bias testing using KNIME and FAIR tools
Module 8: AI Tools & Techniques for Project Management
• AI project management tools
• Data management tools
• Case study: AI workflow management in retail
• Hands-on: AI project timeline simulation in Asana
Module 9: Leadership in AI
• Leading AI teams and change management
• Stakeholder communication strategies
• Use case: AI leadership in manufacturing
• Hands-on: Stakeholder mapping using Miro
Module 10: Scaling AI Initiatives
• Pilot to full-scale deployment
• AI maturity models
• Use case: Scaling AI in global retail
• Hands-on: AI scaling roadmap using Lucidchart
Module 11: Future Trends in AI
• Emerging AI technologies
• Use case: AI in autonomous systems
• Hands-on: Hugging Face and TensorFlow exploration
Module 12: Capstone Project & Presentation
• Capstone project development
• Final presentation and feedback
• Certification review and evaluation process
