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Course Outline
Understanding Agentic AI
- Defining agentic systems and autonomous workflows.
- Comparing agentic AI to traditional automation methods.
- Exploring the current landscape and emerging capabilities.
Enterprise Readiness and Use Cases
- High-impact use cases across various industries.
- Evaluating feasibility and return on investment (ROI).
- Design principles for agent-based processes.
AI-Augmented Workforce Models
- Task-level augmentation versus full automation.
- Human–AI teaming models.
- Redefining roles and skill architectures.
Governance, Trust, and Risk Management
- Expectations around transparency and explainability.
- Operational risks 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
Requirements
- A foundational understanding of organizational digital transformation.
- Experience in business process analysis.
- Familiarity with AI terminology.
Target Audience
- Business executives.
- HR leaders.
- Innovation managers.
14 Hours
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
