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Course Outline

Introduction to Agentic AI

  • Defining Agentic AI
  • Distinctions from traditional AI models
  • Historical progression and key milestones

Core Capabilities of Agentic AI

  • Autonomous decision-making and adaptability
  • Long-term planning and self-improvement
  • Multi-agent collaboration and communication

Real-World Applications of Agentic AI

  • AI-driven automation in enterprise settings
  • Agentic AI in finance, healthcare, and customer service
  • Applications in robotics and smart assistants

Benefits and Challenges of Agentic AI

  • Improving efficiency and scalability for businesses
  • Potential risks and limitations of autonomous AI
  • Strategies for responsible AI development

Ethical and Security Considerations

  • AI safety and risk mitigation strategies
  • Addressing biases and accountability in Agentic AI
  • Regulatory and governance frameworks

The Future of Agentic AI

  • Trends in autonomous AI research and development
  • Preparing businesses for AI-driven transformation
  • Scaling AI capabilities for real-world applications

Summary and Next Steps

Requirements

  • Fundamental knowledge of artificial intelligence
  • Familiarity with AI applications in business or technological contexts

Target Audience

  • Business leaders investigating AI-driven automation
  • Technology strategists assessing AI adoption
  • AI enthusiasts keen on autonomous AI systems
 7 Hours

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