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
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 1600 € + VAT*
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Testimonials (3)
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
practical exercises