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코스 개요
Understanding Agentic AI
- Defining agentic systems and autonomous workflows
- Comparing agentic AI to traditional automation
- Current landscape and emerging capabilities
Enterprise Readiness and Use Cases
- High-impact use cases across industries
- Evaluating feasibility and ROI
- Design principles for agent-based processes
AI-Augmented Workforce Models
- Task-level augmentation vs. full automation
- Human–AI teaming models
- Redefining roles and skill architectures
Governance, Trust, and Risk Management
- Transparency and explainability expectations
- Operational risk and system reliability
- Ethical and regulatory considerations
Change Management and Adoption Strategies
- Preparing leaders and teams for AI-driven transformation
- Managing cultural resistance and skill transitions
- Building AI literacy across the organization
Workflow Integration and Infrastructure
- Connecting agentic AI to existing systems
- Data pipelines and orchestration requirements
- Monitoring and lifecycle management
Future Scenarios and Strategic Planning
- Workplace evolution over the next decade
- Emerging job categories and capabilities
- Strategic frameworks for long-term planning
Summary and Next Steps
요건
- An understanding of organizational digital transformation
- Experience with business process analysis
- Familiarity with AI terminology
Audience
- Business executives
- HR leaders
- Innovation managers
14 시간
회원 평가 (3)
좋은 지식과 실습의 조합
Ion Mironescu - Facultatea S.A.I.A.P.M.
코스 - Agentic AI for Enterprise Applications
기계 번역됨
이론과 실습, 고수준과 저수준의 관점을 결합한 접근
Ion Mironescu - Facultatea S.A.I.A.P.M.
코스 - Autonomous Decision-Making with Agentic AI
기계 번역됨
실습 문제
Daniel - Facultatea S.A.I.A.P.M.
코스 - Agentic AI in Multi-Agent Systems
기계 번역됨
