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Duration 14 hours
Course Outline
Foundations of Agentic AI
- Defining agentic systems and autonomous workflows
- Distinguishing agentic AI from conventional automation
- Current market landscape and emerging capabilities
Enterprise Preparedness and Applications
- High-value use cases across various sectors
- Assessing feasibility and return on investment
- Core design principles for agent-driven processes
Workforce Models Enhanced by AI
- Augmenting tasks versus complete automation
- Frameworks for human–AI collaboration
- Reimagining roles and skill sets
Governance, Trust, and Risk Oversight
- Expectations for transparency and explainability
- Managing operational risks and ensuring system reliability
- Ethical standards and regulatory compliance
Change Management and Adoption Pathways
- Equipping leaders and teams for AI-driven change
- Addressing cultural resistance and facilitating skill transitions
- Establishing AI literacy throughout the organization
Workflow Integration and Infrastructure
- Integrating agentic AI with existing systems
- Requirements for data pipelines and orchestration
- Monitoring and full lifecycle management
Future Outlook and Strategic Roadmaps
- Anticipating workplace changes over the next decade
- Emerging job categories and required capabilities
- Frameworks for long-term strategic planning
Recap and Action Items
Requirements
- A solid grasp of organizational digital transformation
- Practical experience in business process analysis
- Basic familiarity with AI-related terminology
Target Audience
- Senior business leaders
- HR executives
- Managers focused on innovation
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
