Managing AI Projects: From Strategy to Delivery

Instructor: Ian McCulloh

What you'll learn

  •   Design scalable AI projects by balancing technical and managerial considerations, addressing resource allocation, and planning for future expansion.
  •   Apply effective management strategies, including Agile methodologies and risk mitigation, to optimize delivery of large-scale AI initiatives.
  •   Assess AI's impact on labor dynamics, including automation, role transitions, and team diversity, to build efficient and equitable project teams.
  • Skills you'll gain

  •   Performance Appraisal
  •   Project Risk Management
  •   Data Ethics
  •   Risk Mitigation
  •   Diversity Training
  •   Team Building
  •   Business Ethics
  •   Talent Management
  •   Human Resources Management and Planning
  •   Agile Methodology
  •   Workforce Management
  •   Stakeholder Engagement
  •   Budget Management
  •   Project Management Life Cycle
  •   Stakeholder Management
  •   Team Management
  •   Risk Management
  •   Artificial Intelligence
  •   Project Management
  •   Scalability
  • There are 4 modules in this course

    What makes this course unique is its focus on both the technical and human aspects of AI project management. By analyzing the labor dynamics of AI adoption and exploring strategies to create cognitively diverse teams, participants gain insights into building inclusive, sustainable AI solutions. Case studies and practical examples ensure that learners leave with actionable knowledge to lead AI initiatives confidently. Whether scaling existing projects or implementing new ones, this course provides the expertise to succeed in today's AI-driven landscape.

    AI Impacts on Labor

    Designing At-Scale AI Projects

    Managing At-Scale AI Projects

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