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

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