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Course Outline

Introduction to Agentic AI and Autonomous Decision-Making <\/p>

  • What is Agentic AI? <\/li>
  • Key components of autonomous decision-making <\/li>
  • Comparing traditional AI and self-governing AI agents <\/li> <\/ul>

    Architectures for Autonomous AI Agents <\/p>

    • Understanding multi-agent systems <\/li>
    • Reinforcement learning and decision-making models <\/li>
    • Designing AI agents for adaptability and self-improvement <\/li> <\/ul>

      Implementing Autonomous AI in Business and Automation <\/p>

      • Integrating AI agents into enterprise workflows <\/li>
      • Case studies of AI-powered decision automation <\/li>
      • Optimizing AI-driven efficiency in business operations <\/li> <\/ul>

        AI Agent Reasoning and Planning <\/p>

        • Knowledge-based decision-making models <\/li>
        • Goal-oriented reasoning and action selection <\/li>
        • Handling uncertainty in autonomous AI <\/li> <\/ul>

          Optimizing AI Decision Processes <\/p>

          • Scaling autonomous AI for real-world applications <\/li>
          • AI performance tuning for complex decision environments <\/li>
          • Minimizing bias and improving AI-driven outcomes <\/li> <\/ul>

            Security, Compliance, and Ethical Considerations <\/p>

            • Ensuring AI safety in autonomous decision-making <\/li>
            • Regulatory frameworks and compliance <\/li>
            • Best practices for responsible AI use <\/li> <\/ul>

              Future of Autonomous AI and Decision-Making <\/p>

              • Trends in self-learning AI agents <\/li>
              • Emerging technologies in autonomous decision systems <\/li>
              • Expanding Agentic AI applications in various industries <\/li> <\/ul>

                Summary and Next Steps <\/p>

Requirements

  • Prior experience with AI-driven automation <\/li>
  • Familiarity with reinforcement learning and decision-making models <\/li>
  • Understanding of AI agent architectures <\/li> <\/ul>

    Target Audience<\/strong> <\/p>

    • AI developers creating autonomous decision-making systems <\/li>
    • Automation specialists integrating AI agents into workflows <\/li>
    • Business analysts leveraging AI to optimize decision-making <\/li> <\/ul>
 14 Hours

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