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Course Outline
Overview of AI Agents and Chatbots
- Definition of AI agents
- Chatbot types: Rule-based vs AI-driven
- Use cases of chatbots across different sectors
Fundamentals of Natural Language Processing (NLP)
- NLP overview and its application in chatbots
- Tokenization, stemming, and lemmatization
- Identification of intents and entities
Chatbot Planning
- Establishing the objective and scope of the chatbot
- Structuring conversational flows
- Generating training datasets for chatbot responses
Creating Your Initial Chatbot
- Configuring the development environment
- Constructing a basic chatbot with Python and Flask
- Applying elementary NLP features for dialogue
Optimizing Chatbot Performance
- Incorporating fallback and error-handling protocols
- Enhancing responses via external APIs
- Conducting testing and debugging processes
Chatbot Deployment
- Hosting the chatbot on a local server
- Integrating the chatbot with messaging platforms
- Guaranteeing scalability and optimal performance
Ethical Aspects and Best Practices
- Safeguarding user data privacy and security
- Designing inclusive and unbiased chatbots
- Maintaining clarity in AI interactions
Advanced Chatbot Features
- Leveraging machine learning for superior conversations
- Integrating sentiment analysis
- Introduction to advanced frameworks such as Rasa
Wrap-up and Future Directions
Requirements
- Fundamental understanding of programming concepts
- Acquaintance with Python syntax
- Motivation to acquire knowledge of AI technologies
Target Audience
- Beginners in AI
- Developers
- Enthusiasts investigating chatbots and AI agents
14 Hours
