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Course Outline
Introduction to Agentic AI Systems
- Defining Agentic AI and its key capabilities
- Distinctions between rule-based AI and autonomous AI
- Industry applications and use cases
Architecting Agentic AI Systems
- Frameworks and tools for developing autonomous AI
- Designing AI agents with goal-oriented functionality
- Implementing memory, context awareness, and adaptability
Developing AI Agents with Python and APIs
- Creating AI agents
- Integrating AI models with external data sources
- Managing API responses and refining agent interactions
Optimizing Multi-Agent Collaboration
- Designing AI agents for cooperative and competitive scenarios
- Managing inter-agent communication and task delegation
- Scaling multi-agent systems for practical applications
Enhancing Decision-Making in Agentic AI
- Reinforcement learning and self-improving AI agents
- Planning, reasoning, and long-term goal execution
- Balancing automation with human oversight
Security, Ethics, and Compliance in Agentic AI
- Addressing biases and ensuring responsible AI deployment
- Security measures 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 integrating API-based AI models
Target Audience
- AI engineers focused on developing autonomous AI systems
- Machine learning researchers investigating multi-agent AI frameworks
- Developers working on 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
