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Course Outline
Introductory Concepts of AI Agents and Chatbots
- Definition and nature of AI agents
- Categorization of chatbots: Rule-based vs. AI-driven
- Industry-wide applications of chatbot technology
Fundamentals of Natural Language Processing (NLP)
- Summary of NLP and its function in chatbot development
- Techniques for tokenization, stemming, and lemmatization
- Identification of intents and entities
Strategic Planning for Your Chatbot
- Establishing the objective and boundaries of the chatbot
- Mapping out conversational pathways
- Generating training data for chatbot responses
Construction of Your Initial Chatbot
- Configuration of the development workspace
- Development of a basic chatbot using Python and Flask
- Integration of elementary NLP features for dialogue
Optimization of Chatbot Capabilities
- Incorporation of fallback and error-management protocols
- Enriching responses through external API integration
- Comprehensive testing and debugging of the chatbot
Release and Deployment of Your Chatbot
- Hosting the chatbot on a local infrastructure
- Connecting the chatbot to messaging platforms
- Safeguarding scalability and operational efficiency
Moral Considerations and Industry Standards
- Protection of user data privacy and security
- Designing equitable and unbiased chatbot interactions
- Maintaining clarity and transparency in AI engagements
Investigation of Advanced Chatbot Capabilities
- Application of machine learning for superior conversation quality
- Integration of sentiment analysis techniques
- Review of sophisticated frameworks such as Rasa
Recap and Future Directions
Requirements
- Fundamental understanding of programming concepts
- Comfort with Python syntax
- Motivation to explore AI technologies
Target Audience
- Individuals new to AI
- Developers
- Enthusiasts interested in chatbots and AI agents
14 Hours
