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Duration 14 hours
Course Outline
Foundations of Agentic AI
- Defining agentic systems and independent workflow architectures.
- Distinguishing agentic AI from conventional automation techniques.
- Overview of the current technological landscape and developing features.
Corporate Preparedness and Practical Applications
- Key high-value use cases across various sectors.
- Assessing project viability and return on investment.
- Core design principles for agent-driven processes.
Workforce Models Enhanced by AI
- Balancing task-level assistance with complete automation.
- Frameworks for effective human-AI collaboration.
- Reimagining job roles and required skill sets.
Governance, Confidence, and Risk Oversight
- Establishing standards for transparency and explainability.
- Mitigating operational risks and ensuring system stability.
- Navigating ethical dilemmas and regulatory requirements.
Transformation Leadership and Adoption Tactics
- Equipping leaders and teams for AI-centric change.
- Addressing cultural hurdles and facilitating skill shifts.
- Fostering comprehensive AI literacy throughout the company.
System Integration and Infrastructure Setup
- Aligning agentic AI with legacy and modern systems.
- Managing data streams and orchestration needs.
- Implementing continuous monitoring and lifecycle controls.
Future Outlook and Strategic Roadmapping
- Predicting workplace dynamics over the coming decade.
- Anticipating new job categories and required competencies.
- Applying strategic models for long-term planning.
Conclusion and Actionable Next Steps
Requirements
- A solid grasp of digital transformation within organizations.
- Background in business process analysis.
- Working knowledge of standard AI terminology.
Target Audience
- Senior business leaders.
- Human Resources directors.
- 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
