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Duration 14 hours (2 days)
Course Outline
Introduction to AI Agents
- Defining AI agents: What they are.
- 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
- An introduction to agent-based modeling
Developing Basic AI Agents
- Overview of development tools and frameworks
- Practical session: Building a simple chatbot with Rasa
- Tailoring agent behaviors
Advanced AI Agent Features
- Integrating natural language understanding
- Incorporating machine learning models
- Customizing agent responses
Practical Applications
- AI agents in customer support services
- Virtual assistants and productivity enhancements
- Interactive learning tools
Performance Optimization
- Improving agent efficiency
- Considerations for scalability
- Evaluating agent success using KPIs
Ethical and Societal Impact
- Mitigating biases in AI agents
- Safeguarding privacy and data security
- Adhering to AI regulatory standards
Challenges and Future Outlook
- Limitations in scalability and performance
- Ethical considerations in deploying AI agents
- Emerging trends in AI agent technology
Requirements
- A foundational grasp of artificial intelligence concepts
- Working knowledge of Python programming
Audience
- Individuals with a keen interest in AI
- Professionals in the IT sector
