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 Duration 14 hours

Course Outline

Grasping the Essence of Agentic AI

  • Defining agentic systems and the mechanics of autonomous workflows
  • Distinguishing agentic AI from conventional automation techniques
  • Examining the current market landscape and upcoming functional advancements

Preparing Enterprises and Identifying Practical Applications

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

Models for an AI-Enhanced Workforce

  • Contrasting task-level augmentation with complete automation
  • Examining collaborative models where humans and AI work together
  • Reconceptualizing job roles and skill frameworks

Governance, Trust, and Risk Oversight

  • Setting expectations for transparency and explainability
  • Managing operational risks and ensuring system reliability
  • Addressing ethical standards and regulatory requirements

Change Management and Adoption Roadmaps

  • Equipping leaders and teams for AI-led transformation
  • Addressing cultural resistance and facilitating skill transitions
  • Cultivating AI literacy throughout the organization

Workflow Integration and Infrastructure Setup

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

Future Scenarios and Strategic Roadmapping

  • Projecting workplace evolution over the coming decade
  • Identifying new job categories and required capabilities
  • Developing strategic frameworks for long-term growth

Key Takeaways and Actionable Next Steps

Requirements

  • A solid grasp of organizational digital transformation
  • Experience in business process analysis
  • General familiarity with AI-related terminology

Target Audience

  • Business executives
  • HR leaders
  • Innovation managers

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