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Course Outline

Introduction to Agentic AI

  • Defining Agentic AI
  • Key distinctions from traditional AI models
  • Historical evolution and pivotal breakthroughs

Core Capabilities of Agentic AI

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

Real-World Applications of Agentic AI

  • AI-driven automation in enterprise environments
  • Applications in finance, healthcare, and customer service
  • Use cases involving 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 fostering responsible AI development

Ethical and Security Considerations

  • AI safety and risk mitigation strategies
  • Addressing biases and ensuring accountability in Agentic AI
  • Relevant regulatory and governance frameworks

The Future of Agentic AI

  • Emerging trends in autonomous AI research and development
  • How businesses can prepare for AI-driven transformation
  • Scaling AI capabilities for practical applications

Summary and Next Steps

Requirements

  • Foundational knowledge of artificial intelligence
  • Familiarity with the use of AI in business or technology contexts

Target Audience

  • Business leaders investigating AI-driven automation solutions
  • Technology strategists evaluating AI adoption strategies
  • AI enthusiasts keen on learning about autonomous AI systems
 7 Hours

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