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Course Outline
Introduction to AI Agents
- Defining AI agents
- Categorizing agents: reactive, proactive, and hybrid models
- Real-world scenarios where AI agents are applied
Core Design Principles
- Essential elements that constitute an AI agent
- How agents interact with their environment
- An introduction to agent-based modeling techniques
Developing Basic AI Agents
- Surveying available tools and frameworks for agent development
- Practical exercise: Building a simple chatbot with Rasa
- Tailoring and customizing agent behaviors
Enhanced AI Agent Features
- Integrating natural language comprehension capabilities
- Incorporating machine learning models into agents
- Personalizing agent responses for better user experience
Practical Applications
- The role of AI agents in customer support
- Virtual assistants and tools for personal productivity
- Interactive applications in education
Optimizing Performance
- Improving agent efficiency and speed
- Factors to consider for scalability
- Evaluating agent performance through KPIs
Ethical and Societal Impact
- Mitigating biases within AI agent systems
- Safeguarding privacy and ensuring data security
- Adhering to regulatory standards for AI
Challenges and Future Trajectories
- Limitations regarding scalability and performance
- Ethical factors in deploying AI agents
- Trending innovations in AI agent technology
Requirements
- A foundational grasp of artificial intelligence concepts
- Proficiency in Python programming
Target Audience
- Enthusiasts of AI technology
- IT professionals
14 Hours
