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Course Outline
Introduction to Agentic AI Systems
- Defining Agentic AI and its key capabilities
- Key distinctions between rule-based AI and autonomous AI
- Industry applications and use cases
Architecting Agentic AI Systems
- Frameworks and tools for constructing autonomous AI
- Designing AI agents with goal-oriented capabilities
- Implementing memory, context awareness, and adaptability features
Developing AI Agents with Python and APIs
- Constructing AI agents
- Connecting 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 agent communication and task delegation
- Scaling multi-agent systems for real-world deployment
Enhancing Decision-Making in Agentic AI
- Utilizing reinforcement learning for self-improving AI 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
- Security protocols for AI-driven decision-making processes
- Regulatory considerations for autonomous AI systems
Future Trends in Agentic AI
- Advancements in AI autonomy and self-learning mechanisms
- Expanding AI agent capabilities through multimodal learning
- Preparing for the subsequent generation of autonomous AI
Summary and Next Steps
Requirements
- Foundational understanding of AI and machine learning concepts
- Proficiency in Python programming
- Familiarity with integrating AI models via APIs
Audience
- AI engineers focused on developing autonomous AI systems
- ML researchers investigating multi-agent AI frameworks
- Developers working on AI-powered 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
