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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

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