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 Duration 14 hours

Course Outline

Foundations of Agentic AI

  • Defining agentic systems and autonomous workflow capabilities
  • Distinguishing agentic AI from conventional automation
  • Overview of the current market landscape and emerging features

Enterprise Readiness and Practical Applications

  • Identifying high-impact use cases across various sectors
  • Assessing project feasibility and return on investment
  • Establishing design principles for agent-based processes

AI-Augmented Workforce Frameworks

  • Comparing task-level augmentation against full automation
  • Exploring human–AI collaboration models
  • Reimagining job roles and skill requirements

Governance, Trust, and Risk Mitigation

  • Addressing transparency and explainability standards
  • Managing operational risks and ensuring system reliability
  • Navigating ethical and regulatory compliance

Change Management and Adoption Pathways

  • Empowering leaders and teams for AI-driven change
  • Overcoming cultural resistance and facilitating skill transitions
  • Enhancing organizational AI literacy

Workflow Integration and Technical Infrastructure

  • Integrating agentic AI with existing enterprise systems
  • Defining data pipeline and orchestration needs
  • Implementing monitoring and lifecycle management protocols

Future Outlook and Strategic Planning

  • Projecting workplace evolution over the coming decade
  • Anticipating new job categories and required capabilities
  • Developing strategic frameworks for long-term planning

Conclusion and Action Plan

Requirements

  • A solid grasp of organizational digital transformation initiatives
  • Practical experience in business process analysis
  • Working knowledge of core AI terminology

Intended Audience

  • Senior business executives
  • Human resources leaders
  • Innovation and transformation managers

Testimonials (3)

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