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Duration 14 hours
Course Outline
Introduction to AI Agents and Chatbots
- Defining AI agents
- Chatbot classifications: 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
- Interpreting intents and entities
Chatbot Planning
- Establishing the purpose and scope of your chatbot
- Designing conversational paths
- Generating training datasets for chatbot responses
Developing Your Initial Chatbot
- Configuring the development environment
- Constructing a basic chatbot with Python and Flask
- Integrating fundamental NLP capabilities for dialogue
Enhancing Chatbot Performance
- Incorporating fallback and error-handling protocols
- Augmenting responses via external APIs
- Testing and debugging the chatbot
Chatbot Deployment
- Hosting the chatbot on a local server
- Integrating the chatbot with messaging platforms
- Guaranteeing scalability and 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 superior conversations
- Integrating sentiment analysis
- Overview of sophisticated frameworks such as Rasa
Summary and Next Steps
Requirements
- Foundational programming knowledge
- Proficiency in Python syntax
- Willingness to explore AI technologies
Target Audience
- AI novices
- Developers
- Enthusiasts interested in chatbots and AI agents
