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Course Outline
Introduction to AI Agents and Chatbots
- Defining AI agents
- Chatbot types: Rule-based vs. AI-driven
- Chatbot applications across various industries
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
- Structuring conversational flows
- Generating training datasets for chatbot responses
Building Your First Chatbot
- Configuring the development environment
- Constructing a basic chatbot using Python and Flask
- Integrating fundamental NLP features for dialogue
Enhancing Chatbot Performance
- Incorporating fallback and error-handling mechanisms
- Refining responses through external APIs
- Testing 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
- Creating inclusive and unbiased chatbots
- Maintaining transparency in AI interactions
Investigating Advanced Chatbot Capabilities
- Applying machine learning for superior conversations
- Integrating sentiment analysis
- Introduction to advanced frameworks such as Rasa
Conclusion and Future Steps
Requirements
- Foundational programming knowledge
- Accustomance with Python syntax
- Strong motivation to explore AI technologies
Target Audience
- Individuals new to AI
- Developers and programmers
- Enthusiasts investigating chatbots and AI agents
14 Hours
