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Course Outline
Introduction to Agentic AI Systems
- Defining Agentic AI and its core capabilities
- Distinguishing between rule-based AI and autonomous AI
- Exploring use cases and industry applications
Designing Agentic AI Systems
- Selecting frameworks and tools for building autonomous AI
- Creating AI agents with goal-oriented functionality
- Incorporating memory, context awareness, and adaptability
Building AI Agents with Python and APIs
- Constructing AI agents from the ground up
- Linking AI models with external data sources
- Processing API responses and enhancing agent engagement
Optimizing Multi-Agent Collaboration
- Engineering AI agents for cooperative and competitive scenarios
- Coordinating agent communication and task allocation
- Scaling multi-agent systems for production environments
Improving Decision-Making in Agentic AI
- Applying reinforcement learning to self-improving AI agents
- Executing planning, reasoning, and long-term goals
- Striking a balance between automation and human supervision
Security, Ethics, and Compliance in Agentic AI
- Mitigating biases and ensuring responsible AI deployment
- Implementing security protocols for AI-driven decisions
- Considering regulatory frameworks for autonomous AI systems
Emerging Trends in Agentic AI
- Progress in AI autonomy and self-learning mechanisms
- Extending AI agent capabilities through multimodal learning
- Preparing for the next wave of autonomous AI
Conclusion and Future Directions
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 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
