Understanding Agentic AI: Concepts and Capabilities Training Course
Agentic AI encompasses systems capable of making autonomous decisions, planning, and executing complex tasks.
This instructor-led, live training (available online or onsite) targets beginner-level professionals eager to grasp the foundational principles of Agentic AI, its capabilities, and its potential impact across industries.
By the conclusion 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 various sectors.
- Evaluate the advantages and obstacles associated with deploying autonomous AI systems.
- Analyze the ethical and security implications of Agentic AI.
Course Format
- Interactive lectures and discussions.
- Ample opportunities for exercises and practice.
- Hands-on implementation within a live-lab environment.
Customization Options
- For tailored training on this course, please reach out to us to arrange.
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
Target 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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