Understanding Agentic AI: Concepts and Capabilities Training Course
Agentic AI denotes artificial intelligence systems designed to autonomously make decisions, plan, and execute complex tasks.
This instructor-led, live training (available online or onsite) is tailored 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.
Upon completion of this training, participants will be able to:
- Grasp the core principles of Agentic AI.
- Distinguish between traditional AI and autonomous AI agents.
- Explore real-world applications of Agentic AI across various sectors.
- Evaluate the advantages and challenges associated with deploying autonomous AI systems.
- Analyze the ethical and security implications of Agentic AI.
Course Format
- Interactive lectures and discussions.
- Numerous exercises and practical sessions.
- Hands-on implementation within a live-lab environment.
Customization Options for the Course
- To request customized training for this course, please get in touch with us to arrange it.
Course Outline
Introduction to Agentic AI
- What constitutes 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 (3)
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Course - Agentic AI for Business Automation: Use Cases & Integration
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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