Course Outline

Introduction to Agentic AI

  • What is Agentic AI?
  • How it differs from traditional AI models
  • Historical evolution and key breakthroughs

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-powered automation in enterprises
  • Agentic AI in finance, healthcare, and customer service
  • Use cases in robotics and smart assistants

Benefits and Challenges of Agentic AI

  • Enhancing efficiency and scalability in 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
  • How businesses can prepare for AI-driven transformation
  • Scaling AI capabilities for real-world applications

Summary and Next Steps

Requirements

  • Basic understanding of artificial intelligence
  • Familiarity with AI applications in business or technology

Audience

  • Business leaders exploring AI-driven automation
  • Technology strategists analyzing AI adoption
  • AI enthusiasts interested in autonomous AI systems
 7 Hours

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