Get in Touch
 Duration 7 hours

Course Outline

Introduction to Agentic AI

  • Definition and scope of Agentic AI
  • Distinctions from conventional AI methodologies
  • Historical development and critical technological advances

Fundamental Capabilities of Agentic AI

  • Autonomous decision-making and adaptive processes
  • Strategic long-term planning and iterative self-improvement
  • Multi-agent collaboration and interoperability

Practical Applications of Agentic AI

  • AI-driven automation within enterprise operations
  • Implementation in financial services, healthcare, and client support
  • Deployment in robotics and intelligent assistance platforms

Advantages and Constraints of Agentic AI

  • Improving operational efficiency and scalability in the public and private sectors
  • Inherent risks and limitations of autonomous AI systems
  • Protocols for responsible AI governance and development

Ethical and Security Imperatives

  • AI safety standards and risk mitigation protocols
  • Mitigating bias and establishing accountability in Agentic AI
  • Regulatory oversight and governance frameworks

Future Trajectories of Agentic AI

  • Emerging trends in autonomous AI research and development
  • Strategic preparation for AI-driven transformation
  • Scaling AI capabilities for operational use cases

Conclusion and Recommended Actions

Requirements

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

Intended Audience

  • Business leaders investigating AI-driven automation
  • Technology strategists evaluating AI adoption policies
  • Professionals interested in autonomous AI systems for government and enterprise use

Number of participants


Price per participant

Testimonials (3)

Upcoming Courses

Related Categories