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Course Outline
Introduction to AI Agents and Chatbots
- Definition and role of AI agents
- Chatbot typology: Rule-based versus AI-driven
- Industry applications of chatbots
Foundations of Natural Language Processing (NLP)
- Overview of NLP and its function in chatbots
- Tokenization, stemming, and lemmatization
- Comprehending intents and entities
Planning Your Chatbot
- Establishing the purpose and scope of the chatbot
- Architecting conversational flows
- Compiling training datasets for chatbot responses
Developing Your First Chatbot
- Configuring the development environment
- Constructing a basic chatbot with Python and Flask
- Integrating foundational NLP capabilities for dialogue
Optimizing Chatbot Performance
- Implementing fallback and error-handling protocols
- Enriching responses through external APIs
- Testing and debugging the chatbot
Deploying Your Chatbot
- Hosting the chatbot on a local server
- Integrating the chatbot with messaging platforms
- Ensuring scalability and optimal performance
Ethical Considerations and Best Practices
- Safeguarding user data privacy and security
- Designing inclusive and unbiased chatbots
- Maintaining transparency in AI interactions
Advanced Chatbot Features
- Leveraging machine learning for enhanced conversations
- Incorporating sentiment analysis
- Overview of advanced frameworks such as Rasa
Summary and Next Steps
Requirements
- Foundational understanding of programming
- Adequacy with Python syntax
- Enthusiasm for exploring AI technologies
Target Audience
- Novices in AI
- Programmers
- Enthusiasts exploring chatbots and AI agents
14 Hours