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Duration 14 hours
Course Outline
Comprehending Agentic AI
- Defining agentic systems and autonomous workflow patterns
- Distinguishing agentic AI from conventional automation
- Overview of the current landscape and emerging capabilities
Enterprise Readiness and Application Scenarios
- High-impact use cases across various industries
- Assessing feasibility and return on investment
- Core design principles for agent-based processes
AI-Enhanced Workforce Models
- Differentiating task-level augmentation from full automation
- Exploring human–AI collaboration models
- Reimagining roles and skill structures
Governance, Trust, and Risk Oversight
- Setting expectations for transparency and explainability
- Managing operational risks and ensuring system reliability
- Addressing ethical and regulatory requirements
Change Management and Adoption Roadmaps
- Equipping leaders and teams for AI-driven change
- Navigating cultural resistance and skill transitions
- Cultivating AI literacy throughout the organization
Workflow Integration and Technical Infrastructure
- Integrating agentic AI with existing enterprise systems
- Requirements for data pipelines and orchestration
- Implementation of monitoring and lifecycle management
Future Outlook and Strategic Planning
- Projecting workplace evolution over the next ten years
- Identifying emerging job roles and competencies
- Developing strategic frameworks for long-term success
Conclusion and Actionable Next Steps
Requirements
- A foundational understanding of organizational digital transformation
- Practical experience in business process analysis
- Basic familiarity with AI terminology
Target Audience
- Senior business executives
- HR leaders and directors
- Innovation and change 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
