Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Agentic AI Systems
- Defining Agentic AI and its core capabilities
- Key distinctions between rule-based AI and autonomous AI
- Practical use cases and industry applications
Architecting Agentic AI Systems
- Frameworks and tools for developing autonomous AI
- Designing AI agents with goal-oriented capabilities
- Implementing memory, context-awareness, and adaptability
Developing AI Agents with Python and APIs
- Building functional AI agents
- Integrating AI models with external data sources
- Managing API responses and enhancing agent interactions
Optimizing Multi-Agent Collaboration
- Designing AI agents for both cooperative and competitive tasks
- Facilitating agent communication and task delegation
- Scaling multi-agent systems for real-world deployment
Enhancing Decision-Making in Agentic AI
- Reinforcement learning and self-improving AI agents
- Planning, reasoning, and executing long-term goals
- Balancing automation with necessary human oversight
Security, Ethics, and Compliance in Agentic AI
- Mitigating biases and ensuring responsible AI deployment
- Security protocols for AI-driven decision-making
- Regulatory considerations for autonomous AI systems
Future Trends in Agentic AI
- Advancements in AI autonomy and self-learning systems
- Expanding AI agent capabilities through multimodal learning
- Preparing for the next generation of autonomous AI
Summary and Next Steps
Requirements
- Fundamental knowledge of AI and machine learning concepts
- Proficiency in Python programming
- Experience with API-based AI model integration
Target Audience
- AI engineers focused on developing autonomous AI systems
- ML researchers investigating multi-agent AI frameworks
- Developers implementing AI-driven automation solutions
21 Hours
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
