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Duration 14 hours
Course Outline
Comprehending Agentic AI
- Defining agentic systems and autonomous workflows
- Differentiating agentic AI from conventional automation
- Reviewing the current landscape and emerging capabilities
Enterprise Readiness and Applications
- Examining high-impact use cases across various industries
- Assessing feasibility and return on investment
- Establishing design principles for agent-based processes
Workforce Models Enhanced by AI
- Distinguishing between task-level augmentation and full automation
- Exploring human–AI collaboration models
- Reimagining roles and skill frameworks
Governance, Trust, and Risk Mitigation
- Meeting expectations for transparency and explainability
- Addressing operational risks and system reliability
- Navigating ethical and regulatory requirements
Change Management and Implementation Strategies
- Equipping leaders and teams for AI-driven change
- Addressing cultural resistance and skill shifts
- Cultivating AI literacy throughout the organization
Workflow Integration and Infrastructure
- Linking agentic AI with existing systems
- Defining data pipeline and orchestration needs
- Implementing monitoring and lifecycle management
Future Trends and Strategic Outlook
- Projecting workplace evolution over the next ten years
- Identifying emerging job roles and competencies
- Developing strategic frameworks for long-term planning
Recap and Action Plan
Requirements
- A solid grasp of organizational digital transformation
- Practical experience in business process analysis
- Basic familiarity with AI terminology
Target Audience
- Senior business executives
- Human resources leaders
- Innovation managers
Testimonials (3)
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Course - Agentic AI for Business Automation: Use Cases & Integration
Good mixvof knowledge and practice
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Agentic AI for Enterprise Applications
The mix of theory and practice and of high level and low level perspectives