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Course Outline
Introduction to Agentic AI
- Defining the scope and nature of Agentic AI
- Contrasting Agentic AI with traditional AI paradigms
- Tracing historical developments and pivotal milestones
Core Capabilities of Agentic AI
- Independent decision processes and adaptive behaviors
- Strategic long-term planning and self-optimization
- Coordinated interaction among multiple agents
Real-World Applications of Agentic AI
- Enterprise-level automation powered by AI
- Deployment in finance, medical services, and client support
- Applications in robotics and intelligent assistant technologies
Benefits and Challenges of Agentic AI
- Improving operational efficiency and organizational scalability
- Understanding potential risks and functional constraints of autonomous AI
- Frameworks for ethical and responsible AI development
Ethical and Security Considerations
- Protocols for AI safety and risk reduction
- Managing algorithmic bias and ensuring accountability
- Navigating regulatory standards and governance policies
The Future of Agentic AI
- Emerging trends in autonomous AI research and innovation
- Preparing businesses for AI-centric transformation
- Scaling AI functionalities for practical, real-world use
Summary and Next Steps
Requirements
- Foundational knowledge of artificial intelligence principles
- Basic awareness of AI utilization in corporate or technical environments
Target Audience
- Executives investigating AI-led automation strategies
- Technology strategists assessing AI integration pathways
- AI professionals with a keen interest in autonomous system dynamics
7 Hours
Testimonials (4)
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
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Autonomous Decision-Making with Agentic AI
practical exercises
