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Duration 14 hours
Course Outline
Introduction to AI Agents and Chatbots
- The definition and nature of AI agents
- Chatbot categories: Rule-based versus AI-driven
- Industrial applications of chatbots
Foundations of Natural Language Processing (NLP)
- Overview of NLP and its function in chatbots
- Processes of tokenization, stemming, and lemmatization
- Identifying intents and entities
Strategizing Your Chatbot
- Establishing the objective and scope of your 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 basic NLP features for dialogue
Enhancing Chatbot Performance
- Introducing fallback and error-handling mechanisms
- Augmenting responses through external APIs
- Conducting tests and debugging the chatbot
Deploying Your Chatbot
- Hosting the chatbot on a local server
- Connecting the chatbot to messaging platforms
- Safeguarding scalability and performance
Ethical Considerations and Best Practices
- Safeguarding user data privacy and security
- Building inclusive and unbiased chatbots
- Promoting transparency in AI interactions
Advanced Chatbot Features
- Leveraging machine learning for superior conversations
- Incorporating sentiment analysis
- Overview of advanced frameworks such as Rasa
Conclusion and Future Directions
Requirements
- Fundamental understanding of programming
- Proficiency with Python syntax
- Motivation to explore AI technologies
Target Audience
- Novices in AI
- Developers
- Enthusiasts investigating chatbots and AI agents
