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 Duration 14 hours

Course Outline

Grasping the Concept of Agentic AI

  • Defining agentic systems and the nature of autonomous workflows
  • Distinguishing agentic AI from traditional automation methods
  • Reviewing the current market landscape and emerging capabilities

Enterprise Readiness and Practical Applications

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

AI-Enhanced Workforce Models

  • Comparing task-level augmentation with full automation
  • Developing effective human–AI teaming models
  • Restructuring roles and skill architectures

Governance, Trust, and Risk Mitigation

  • Meeting expectations for transparency and explainability
  • Managing operational risks and ensuring system reliability
  • Navigating ethical and regulatory landscapes

Change Management and Adoption Roadmaps

  • Equipping leaders and teams for AI-driven transformation
  • Addressing cultural resistance and facilitating skill transitions
  • Cultivating AI literacy throughout the organization

Workflow Integration and Infrastructure Requirements

  • Integrating agentic AI with existing enterprise systems
  • Understanding data pipelines and orchestration needs
  • Implementing monitoring and lifecycle management practices

Future Scenarios and Strategic Outlook

  • Predicting workplace evolution over the coming decade
  • Identifying emerging job categories and required capabilities
  • Applying strategic frameworks for long-term planning

Conclusion and Recommended Next Steps

Requirements

  • A solid grasp of organizational digital transformation concepts
  • Practical experience in business process analysis
  • General familiarity with key AI terminology

Target Audience

  • Senior business executives
  • Human Resources leaders
  • Innovation and change management professionals

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