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Duration 14 hours
Course Outline
Comprehending Agentic AI
- Defining agentic systems and autonomous workflows
- Distinguishing agentic AI from traditional automation
- Overview of the current landscape and emerging capabilities
Enterprise Readiness and Practical Applications
- High-impact use cases across various industries
- Assessing feasibility and return on investment
- Design principles for agent-based processes
Workforce Models Enhanced by AI
- Differentiating task-level augmentation from full automation
- Models for human–AI collaboration
- Reimagining roles and skill architectures
Governance, Trust, and Risk Management
- Expectations for transparency and explainability
- Managing operational risk and system reliability
- Navigating ethical and regulatory considerations
Change Management and Adoption Strategies
- Preparing leaders and teams for AI-driven transformation
- Addressing cultural resistance and skill transitions
- Fostering AI literacy across the organization
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
- Projected evolution of the workplace over the next decade
- Emerging job categories and required capabilities
- Strategic frameworks for long-term planning
Wrap-Up and Future Directions
Requirements
- A solid grasp of organizational digital transformation<\/li>
- Hands-on experience with business process analysis<\/li>
- Basic familiarity with AI-related terminology<\/li>
Target Audience<\/p>
- Business executives<\/li>
- HR leaders<\/li>
- Innovation managers<\/li>
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
