Course Outline
Introduction to Agentic AI <\/p>
- What is Agentic AI? <\/li>
- How it differs from traditional AI models <\/li>
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Historical evolution and key breakthroughs
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Core Capabilities of Agentic AI <\/p>
- Autonomous decision-making and adaptability <\/li>
- Long-term planning and self-improvement <\/li>
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Multi-agent collaboration and communication
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Real-World Applications of Agentic AI <\/p>
- AI-powered automation in enterprises <\/li>
- Agentic AI in finance, healthcare, and customer service <\/li>
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Use cases in robotics and smart assistants
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Benefits and Challenges of Agentic AI <\/p>
- Enhancing efficiency and scalability in businesses <\/li>
- Potential risks and limitations of autonomous AI <\/li>
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Strategies for responsible AI development
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Ethical and Security Considerations <\/p>
- AI safety and risk mitigation strategies <\/li>
- Addressing biases and accountability in Agentic AI <\/li>
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Regulatory and governance frameworks
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The Future of Agentic AI <\/p>
- Trends in autonomous AI research and development <\/li>
- How businesses can prepare for AI-driven transformation <\/li>
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Scaling AI capabilities for real-world applications
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Summary and Next Steps <\/ul>
Requirements
- Basic understanding of artificial intelligence <\/li>
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Familiarity with AI applications in business or technology
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Audience<\/strong> <\/p>
- Business leaders exploring AI-driven automation <\/li>
- Technology strategists analyzing AI adoption <\/li>
- AI enthusiasts interested in autonomous AI systems <\/li> <\/ul>
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
