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 Duration 14 hours

Course Outline

Comprehending Agentic AI

  • Defining agentic systems and autonomous workflows
  • Differentiating agentic AI from conventional automation
  • Reviewing the current landscape and emerging capabilities

Enterprise Readiness and Applications

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

Workforce Models Enhanced by AI

  • Distinguishing between task-level augmentation and full automation
  • Exploring human–AI collaboration models
  • Reimagining roles and skill frameworks

Governance, Trust, and Risk Mitigation

  • Meeting expectations for transparency and explainability
  • Addressing operational risks and system reliability
  • Navigating ethical and regulatory requirements

Change Management and Implementation Strategies

  • Equipping leaders and teams for AI-driven change
  • Addressing cultural resistance and skill shifts
  • Cultivating AI literacy throughout the organization

Workflow Integration and Infrastructure

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

Future Trends and Strategic Outlook

  • Projecting workplace evolution over the next ten years
  • Identifying emerging job roles and competencies
  • Developing strategic frameworks for long-term planning

Recap and Action Plan

Requirements

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

Target Audience

  • Senior business executives
  • Human resources leaders
  • Innovation managers

Testimonials (3)

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