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 Duration 14 hours

Course Outline

Grasping Agentic AI

  • Defining agentic systems and their autonomous workflows.
  • Distinguishing agentic AI from conventional automation.
  • Surveying the current landscape and rising capabilities.

Enterprise Preparedness & Application

  • Identifying high-value use cases across various sectors.
  • Assessing feasibility and return on investment.
  • Core design principles for agent-driven processes.

AI-Enhanced Workforce Models

  • Balancing task-level augmentation with full automation.
  • Models for human–AI collaboration.
  • Restructuring roles and competency frameworks.

Governance, Trust & Risk

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

Change Management & Adoption

  • Equipping leaders and teams for AI-led change.
  • Addressing cultural pushback and skill shifts.
  • Fostering organization-wide AI literacy.

Workflow Integration & Infrastructure

  • Linking agentic AI with legacy systems.
  • Requirements for data pipelines and orchestration.
  • Continuous monitoring and lifecycle oversight.

Future Scenarios & Strategy

  • Projecting workplace trends over the next ten years.
  • Anticipating new job types and required capabilities.
  • Frameworks for long-term strategic planning.

Recap & Action Plan

Requirements

  • A solid grasp of organizational digital transformation.
  • Practical experience in business process analysis.
  • A working knowledge of AI terminology.

Target Audience

  • Senior business executives.
  • HR directors and leaders.
  • Innovation and transformation managers.

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