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Duration 14 hours
Course Outline
Fundamentals of Agentic AI
- Defining agentic systems and autonomous workflows
- Distinguishing agentic AI from traditional automation
- Current landscape and emerging capabilities
Enterprise Readiness and Use Cases
- High-impact applications across various industries
- Evaluating feasibility and return on investment
- Design principles for agent-based processes
AI-Augmented Workforce Models
- Task-level augmentation versus full automation
- Models for human–AI collaboration
- Redefining roles and skill frameworks
Governance, Trust, and Risk Management
- Expectations regarding transparency and explainability
- Operational risks and system reliability
- Ethical and regulatory considerations
Change Management and Adoption Strategies
- Prepating leaders and teams for AI-driven transformation
- Addressing cultural resistance and facilitating skill transitions
- Cultivating AI literacy across the organization
Workflow Integration and Infrastructure
- Integrating agentic AI with existing systems
- Data pipeline and orchestration requirements
- Monitoring and lifecycle management
Future Scenarios and Strategic Planning
- The evolution of the workplace over the next decade
- Emerging job categories and required capabilities
- Strategic frameworks for long-term planning
Summary and Next Steps
Requirements
- A solid grasp of organizational digital transformation
- Experience in business process analysis
- Basic familiarity with AI terminology
Target Audience
- Business executives
- HR 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
