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Course Outline
Introduction to Agentic AI Systems
- Defining Agentic AI and its core capabilities
- Key distinctions between rule-based AI and autonomous AI
- Real-world use cases and industry applications
Architecting Agentic AI Systems
- Frameworks and tools for developing autonomous AI
- Designing goal-oriented AI agents
- Implementing memory, contextual 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 agents for cooperative and competitive tasks
- Managing communication and task delegation among agents
- Scaling multi-agent systems for practical applications
Enhancing Decision-Making in Agentic AI
- Utilizing reinforcement learning for self-improving agents
- Facilitating planning, reasoning, and long-term goal execution
- Balancing automation with necessary human oversight
Security, Ethics, and Compliance in Agentic AI
- Mitigating biases and ensuring responsible AI deployment
- Implementing security measures for AI-driven decisions
- Understanding regulatory considerations for autonomous systems
Future Trends in Agentic AI
- Advancements in AI autonomy and self-learning capabilities
- Expanding agent functionality through multimodal learning
- Preparing for the next generation of autonomous AI
Summary and Next Steps
Requirements
- Foundational knowledge of AI and machine learning concepts
- Proficiency in Python programming
- Experience with API-based integration of AI models
Target Audience
- AI engineers creating autonomous AI systems
- ML researchers investigating multi-agent AI frameworks
- Developers building 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
