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Duration 14 hours
Course Outline
Understanding Agentic AI
- Defining agentic systems and autonomous workflows
- Contrasting agentic AI with traditional automation
- Surveying the current landscape and emerging capabilities
Enterprise Readiness and Use Cases
- Examining high-impact use cases across various industries
- Evaluating feasibility and return on investment
- Establishing design principles for agent-based processes
AI-Augmented Workforce Models
- Distinguishing task-level augmentation from full automation
- Exploring human–AI teaming models
- Redefining roles and skill architectures
Governance, Trust, and Risk Management
- Setting expectations for transparency and explainability
- Addressing operational risks and system reliability
- Navigating ethical and regulatory considerations
Change Management and Adoption Strategies
- Preparing leaders and teams for AI-driven transformation
- Managing cultural resistance and facilitating skill transitions
- Cultivating AI literacy across the entire organization
Workflow Integration and Infrastructure
- Integrating agentic AI with existing systems
- Understanding data pipelines and orchestration requirements
- Implementing monitoring and lifecycle management
Future Scenarios and Strategic Planning
- Projecting workplace evolution over the next decade
- Identifying emerging job categories and capabilities
- Developing strategic frameworks for long-term planning
Summary and Next Steps
Requirements
- A solid grasp of organizational digital transformation
- Practical experience in business process analysis
- Basic familiarity with AI terminology
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
