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Duration 7 hours
Course Outline
Foundations of Agentic AI
- Defining Agentic AI
- Key distinctions from conventional AI models
- Historical development and major milestones
Fundamental Features of Agentic AI
- Independent decision processes and adaptive behavior
- Strategic long-term planning and self-optimization
- Coordination and dialogue between multiple agents
Practical Uses of Agentic AI
- Enterprise-level automation powered by AI
- Applications in banking, medical care, and client support
- Specific roles in robotics and intelligent assistants
Advantages and Obstacles of Agentic AI
- Improving operational efficiency and growth potential
- Identifying risks and boundaries of autonomous systems
- Approaches to ethical and responsible AI creation
Ethics and Safety Frameworks
- Safety protocols and risk reduction tactics
- Managing bias and establishing accountability in Agentic AI
- Compliance with regulatory and oversight structures
Future Trajectories for Agentic AI
- Emerging trends in autonomous AI research
- Corporate strategies for adapting to AI-led change
- Expanding AI capabilities for live environments
Recap and Future Actions
Requirements
- Foundational knowledge of artificial intelligence
- Awareness of AI tools in commercial or technical contexts
Target Participants
- Executives investigating AI-based automation
- Tech strategists evaluating AI integration
- Enthusiasts focused on autonomous AI frameworks
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
