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 Duration 14 hours

Course Outline

Understanding Agentic AI

  • Defining agentic systems and autonomous workflows
  • Contrasting agentic AI with traditional automation
  • Overview of the current landscape and emerging capabilities

Enterprise Readiness and Use Cases

  • High-impact applications across various industries
  • Assessing feasibility and return on investment
  • Design principles for agent-based processes

AI-Augmented Workforce Models

  • Comparing task-level augmentation with full automation
  • Models for human–AI collaboration
  • Redefining roles and skill architectures

Governance, Trust, and Risk Management

  • Expectations regarding transparency and explainability
  • Managing operational risk and system reliability
  • Ethical and regulatory considerations

Change Management and Adoption Strategies

  • Preparing leaders and teams for AI-driven transformation
  • Addressing cultural resistance and facilitating skill transitions
  • Developing AI literacy across the organization

Workflow Integration and Infrastructure

  • Integrating agentic AI with existing systems
  • Requirements for data pipelines and orchestration
  • Monitoring and lifecycle management

Future Scenarios and Strategic Planning

  • Evolution of the workplace over the next decade
  • Emerging job categories and required capabilities
  • Strategic frameworks for long-term planning

Summary and Next Steps

Requirements

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

Target Audience

  • Business executives
  • Human Resources leaders
  • Innovation managers

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