Understanding Agentic AI: Concepts and Capabilities

• 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

Agentic AI refers to AI systems capable of autonomous decision-making, planning, and execution of complex tasks.

This instructor-led, live training (online or onsite) is aimed at beginner-level professionals who wish to understand the fundamental principles of Agentic AI, its capabilities, and its potential impact on industries.

By the end of this training, participants will be able to:

• Understand the core principles of Agentic AI.
• Differentiate between traditional AI and autonomous AI agents.
• Explore real-world applications of Agentic AI in various industries.
• Assess the benefits and challenges of deploying autonomous AI systems.
• Analyze the ethical and security considerations of Agentic AI.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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