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Course Outline
Introduction to AI Agents and Chatbots
- Definition of AI agents
- Categories of chatbots: Rule-based versus AI-driven
- Industrial applications of chatbots
Foundations of Natural Language Processing (NLP)
- Overview of NLP and its significance in chatbot development
- Tokenization, stemming, and lemmatization
- Identifying intents and entities
Planning Your Chatbot
- Establishing the purpose and scope of the chatbot
- Structuring conversational flows
- Generating training datasets for chatbot responses
Building Your First Chatbot
- Configuring the development environment
- Creating a basic chatbot using Python and Flask
- Implementing essential NLP features for dialogue
Enhancing Chatbot Performance
- Incorporating 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
- Optimising for scalability and performance
Ethical Considerations and Best Practices
- Safeguarding user data privacy and security
- Designing inclusive and unbiased chatbots
- Maintaining transparency in AI interactions
Exploring Advanced Chatbot Features
- Utilising machine learning for superior conversations
- Integrating sentiment analysis
- Overview of advanced frameworks such as Rasa
Summary and Future Steps
Requirements
- Fundamental understanding of programming concepts
- Proficiency with Python syntax
- A strong desire to explore AI technologies
Audience
- Beginners in AI
- Programmers
- Enthusiasts interested in chatbots and AI agents
14 Hours