Understanding Agentic AI: Concepts and Capabilities Training Course
Agentic AI refers to artificial intelligence systems that are capable of autonomous decision-making, planning, and executing complex tasks.
This instructor-led, live training (available both online and on-site) is designed for professionals at the beginner level who want to grasp the fundamental principles of Agentic AI, its capabilities, and its potential impact on various industries.
By the end of this training, participants will be able to:
- Comprehend the core principles of Agentic AI.
- Distinguish between traditional AI and autonomous AI agents.
- Examine real-world applications of Agentic AI across different sectors.
- Evaluate the advantages and challenges of implementing autonomous AI systems.
- Consider the ethical and security implications of Agentic AI.
Format of the Course
- Interactive lectures and discussions.
- Numerous exercises and practical activities.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- For customized training for this course, please contact us to arrange.
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
Open Training Courses require 5+ participants.
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Testimonials (2)
Good mixvof knowledge and practice
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Agentic AI for Enterprise Applications
The mix of theory and practice and of high level and low level perspectives
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Autonomous Decision-Making with Agentic AI
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