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Course Outline
Introduction to AI Agents and Chatbots
- The definition and nature of AI agents
- Chatbot categories: Rule-based versus AI-driven
- The role of chatbots across different industries
Foundations of Natural Language Processing (NLP)
- Overview of NLP and its function in chatbots
- Concepts of tokenization, stemming, and lemmatization
- Interpreting intents and entities
Strategizing Your Chatbot
- Establishing the objective and scope of the chatbot
- Designing the dialogue flow
- Generating training datasets for bot responses
Creating Your First Chatbot
- Configuring the development workspace
- Building a basic chatbot with Python and Flask
- Integrating foundational NLP features for conversation
Optimizing Chatbot Performance
- Incorporating fallback strategies and error-handling protocols
- Enhancing responses through external APIs
- Testing and troubleshooting the chatbot
Launching Your Chatbot
- Hosting the chatbot on a local server
- Connecting the chatbot with messaging services
- Guaranteeing scalability and optimal performance
Ethical Dimensions and Best Practices
- Safeguarding user data privacy and security
- Designing inclusive and unbiased chatbots
- Upholding transparency in AI interactions
Investigating Advanced Chatbot Capabilities
- Leveraging machine learning for richer conversations
- Integrating sentiment analysis
- Overview of sophisticated frameworks such as Rasa
Conclusions and Future Directions
Requirements
- Fundamental programming knowledge
- Proficiency with Python syntax
- Enthusiasm for exploring AI technologies
Target Audience
- Newcomers to AI
- Developers
- Enthusiasts interested in chatbots and AI agents
14 Hours
