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 Duration 14 hours

Course Outline

Grasping the Foundations of Agentic AI

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

Enterprise Preparedness and Application Scenarios

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

AI-Enhanced Workforce Structures

  • Balancing task-level augmentation with full automation
  • Exploring Human–AI teaming models
  • Reimagining roles and skill architectures

Governance, Trust, and Risk Oversight

  • Setting expectations for transparency and explainability
  • Addressing operational risks and system reliability
  • Navigating ethical and regulatory considerations

Change Management and Adoption Roadmaps

  • Preparing leaders and teams for AI-driven transformation
  • Managing cultural resistance and facilitating skill transitions
  • Cultivating AI literacy throughout the organisation

Workflow Integration and Infrastructure

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

Future Trajectories and Strategic Planning

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

Recap and Next Steps

Requirements

  • An understanding of organisational digital transformation
  • Experience with business process analysis
  • Familiarity with AI terminology

Target Audience

  • Business executives
  • HR leaders
  • Innovation managers

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Provisional Upcoming Courses (Require 5+ participants)

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