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Duration 14 hours
Course Outline
Foundations of Agentic AI
- Defining agentic systems and autonomous workflows
- Distinguishing agentic AI from traditional automation
- Current market landscape and emerging capabilities
Enterprise Readiness and Application Scenarios
- High-impact use cases across various industries
- Assessing feasibility and return on investment (ROI)
- Core design principles for agent-based processes
Workforce Models Enhanced by AI
- Task-level augmentation versus full automation
- Models for human–AI collaboration
- Re-evaluating roles and skill architectures
Governance, Trust, and Risk Oversight
- Expectations regarding transparency and explainability
- Managing operational risks and system reliability
- Ethical and regulatory considerations
Change Management and Adoption Pathways
- Preparsing leaders and teams for AI-driven shifts
- Navigating cultural resistance and skill transitions
- Establishing organizational AI literacy
Workflow Integration and Infrastructure
- Integrating agentic AI with existing systems
- Requirements for data pipelines and orchestration
- Monitoring and lifecycle management
Future Scenarios and Strategic Planning
- 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 understanding of organizational digital transformation
- Practical experience in business process analysis
- General 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
