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 Duration 14 hours

Course Outline

Foundations of Agentic AI

  • Defining agentic systems and autonomous workflow mechanisms
  • Distinguishing agentic AI from conventional automation
  • Reviewing the current market landscape and advancing features

Enterprise Preparedness and Practical Applications

  • Exploring high-impact applications across various sectors
  • Assessing practicality and return on investment
  • Establishing design principles for agent-driven processes

AI-Enhanced Workforce Structures

  • Contrasting task-specific enhancement with complete automation
  • Modeling human-AI collaborative teams
  • Reimagining job roles and skill frameworks

Governance, Trust, and Risk Oversight

  • Setting expectations for transparency and explainability
  • Addressing operational risks and system stability
  • Navigating ethical and regulatory landscapes

Change Management and Adoption Tactics

  • Equipping leaders and teams for AI-led change
  • Overcoming cultural barriers and managing skill shifts
  • Cultivating organizational AI literacy

Workflow Integration and Technical Infrastructure

  • Integrating agentic AI with current systems
  • Managing data pipelines and orchestration needs
  • Implementing monitoring and lifecycle controls

Future Outlook and Strategic Planning

  • Projecting workplace trends for the coming decade
  • Anticipating new job categories and competencies
  • Developing strategic frameworks for long-term planning

Wrap-up and Actionable Next Steps

Requirements

  • A solid grasp of organizational digital transformation
  • Background in business process analysis
  • Basic familiarity with AI concepts and terminology

Target Audience

  • Senior business executives
  • Human resources leaders
  • Managers focused on innovation

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