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Duration 14 hours
Course Outline
Introduction to AI Agents
- Defining AI agents
- Categorizing AI agents: Reactive, proactive, and hybrid models
- Real-world applications of AI agents
Foundational Design Principles
- Essential components of an AI agent
- Interactions between agents and their environment
- Overview of agent-based modeling
Developing Basic AI Agents
- Survey of tools and frameworks for AI agent creation
- Practical exercise: Building a basic chatbot with Rasa
- Modifying and customizing agent behavior
Enhanced AI Agent Features
- Incorporating natural language understanding
- Integration of machine learning models
- Personalizing agent interactions and responses
Practical Applications
- Implementing AI agents in customer service
- Virtual assistants and productivity-enhancing tools
- Interactive educational platforms
Performance Optimization
- Improving agent efficiency
- Considerations for scalability
- Evaluating agent success using KPIs
Ethical and Social Impact
- Mitigating biases within AI agents
- Safeguarding privacy and data security
- Adhering to AI regulatory standards
Challenges and Future Trajectories
- Limitations regarding scalability and performance
- Ethical aspects of deploying AI agents
- Emerging trends in AI agent technology
Requirements
- Foundational knowledge of artificial intelligence principles
- Proficiency in Python programming
Target Audience
- AI practitioners and enthusiasts
- IT specialists and professionals
