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Duration 7 hours
Course Outline
Introduction to Agentic AI
- Defining Agentic AI
- Key differences from traditional AI models
- Historical progression and major advancements
Fundamental Capabilities of Agentic AI
- Independent decision-making and adaptive behavior
- Strategic long-term planning and self-optimization
- Collaborative interactions and communication among multiple agents
Practical Implementations of Agentic AI
- AI-enabled automation within corporate environments
- Applications in finance, healthcare, and client support
- Deployment in robotics and intelligent assistants
Advantages and Obstacles of Agentic AI
- Improving operational efficiency and scalability for businesses
- Potential risks and constraints of autonomous AI
- Approaches for responsible AI development
Ethical and Security Implications
- Ensuring AI safety and implementing risk mitigation tactics
- Managing bias and ensuring accountability in Agentic AI
- Regulatory standards and governance structures
Future Trajectories of Agentic AI
- Emerging trends in autonomous AI research and development
- Preparing organizations for AI-driven transformation
- Scaling AI capabilities for practical real-world use
Conclusion and Recommended Next Steps
Requirements
- Foundational knowledge of artificial intelligence
- General awareness of AI applications in business or technology contexts
Target Audience
- Business executives exploring AI-driven automation solutions
- Technology strategists assessing AI adoption pathways
- AI enthusiasts with an interest in autonomous AI systems
Testimonials (3)
Strong confirmation that current LLMs are deployable for customer projects when the proper setup is in place.
Oliver Fromm
Course - Agentic AI for Enterprise Applications
Machine Translated
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
The mix of theory and practice and of high level and low level perspectives