Understanding Agentic AI: Concepts and Capabilities Training Course
Agentic AI encompasses systems designed to make autonomous decisions, plan, and execute complex tasks with minimal human intervention.
This instructor-led training, available live online or at your location, is designed for beginners looking to grasp the foundational principles of Agentic AI, its functional capabilities, and its transformative potential across various sectors.
Upon completion of this training, participants will be equipped to:
- Comprehend the core principles underpinning Agentic AI.
- Distinguish between conventional AI and autonomous AI agents.
- Discover real-world implementations of Agentic AI across diverse industries.
- Evaluate the advantages and hurdles associated with deploying autonomous AI systems.
- Examine the ethical and security implications inherent in Agentic AI.
Course Format
- Engaging lectures paired with interactive discussions.
- Ample opportunities for practice through exercises.
- Practical, hands-on implementation within a live-lab environment.
Customization Options
- To arrange a tailored training session for this course, please reach out to us.
Course Outline
Introduction to Agentic AI
- Defining Agentic AI
- Key distinctions from traditional AI models
- Historical evolution and significant breakthroughs
Core Capabilities of Agentic AI
- Autonomous decision-making and adaptability
- Long-term planning and continuous self-improvement
- Collaboration and communication among multiple agents
Real-World Applications of Agentic AI
- AI-powered automation within enterprises
- Applications in finance, healthcare, and customer service
- Use cases in robotics and smart assistant technologies
Benefits and Challenges of Agentic AI
- Improving efficiency and scalability for businesses
- Potential risks and limitations of autonomous AI
- Approaches to responsible AI development
Ethical and Security Considerations
- AI safety measures and risk mitigation strategies
- Addressing biases and ensuring accountability in Agentic AI
- Regulatory standards and governance frameworks
The Future of Agentic AI
- Emerging trends in autonomous AI research and development
- How businesses can prepare for AI-driven transformation
- Scaling AI capabilities for practical, real-world applications
Summary and Next Steps
Requirements
- Foundational knowledge of artificial intelligence
- Familiarity with how AI is applied in business or technology contexts
Target Audience
- Business executives investigating AI-driven automation
- Technology strategists evaluating AI adoption strategies
- AI enthusiasts eager to learn about 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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