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Duration 7 hours
Course Outline
Introduction to Agentic AI
- Definition and scope of Agentic AI
- Distinctions from conventional AI methodologies
- Historical development and critical technological advances
Fundamental Capabilities of Agentic AI
- Autonomous decision-making and adaptive processes
- Strategic long-term planning and iterative self-improvement
- Multi-agent collaboration and interoperability
Practical Applications of Agentic AI
- AI-driven automation within enterprise operations
- Implementation in financial services, healthcare, and client support
- Deployment in robotics and intelligent assistance platforms
Advantages and Constraints of Agentic AI
- Improving operational efficiency and scalability in the public and private sectors
- Inherent risks and limitations of autonomous AI systems
- Protocols for responsible AI governance and development
Ethical and Security Imperatives
- AI safety standards and risk mitigation protocols
- Mitigating bias and establishing accountability in Agentic AI
- Regulatory oversight and governance frameworks
Future Trajectories of Agentic AI
- Emerging trends in autonomous AI research and development
- Strategic preparation for AI-driven transformation
- Scaling AI capabilities for operational use cases
Conclusion and Recommended Actions
Requirements
- Foundational knowledge of artificial intelligence
- Familiarity with AI applications in business or technology contexts
Intended Audience
- Business leaders investigating AI-driven automation
- Technology strategists evaluating AI adoption policies
- Professionals interested in autonomous AI systems for government and enterprise use
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