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Duration 14 hours
Course Outline
Introduction to AI Agents and Chatbots
- Defining AI agents
- Categories of chatbots: Rule-based vs. AI-driven
- Applications of chatbots across various sectors
Foundations of Natural Language Processing (NLP)
- Overview of NLP and its function in chatbots
- Tokenization, stemming, and lemmatization
- Identifying intents and entities
Planning Your Chatbot
- Establishing the objective and scope of your chatbot
- Structuring conversational pathways
- Developing training datasets for chatbot responses
Constructing Your First Chatbot
- Configuring the development environment
- Building a basic chatbot with Python and Flask
- Integrating fundamental NLP capabilities for conversation
Enhancing Chatbot Performance
- Incorporating fallback and error-management strategies
- Improving responses through external APIs
- Testing and troubleshooting your chatbot
Launching Your Chatbot
- Hosting your chatbot on a local server
- Connecting the chatbot to messaging platforms
- Safeguarding scalability and performance
Ethical Considerations and Best Practices
- Protecting user data privacy and security
- Crafting inclusive and unbiased chatbots
- Maintaining transparency in AI interactions
Investigating Advanced Chatbot Capabilities
- Applying machine learning for more sophisticated conversations
- Integrating sentiment analysis
- Reviewing advanced frameworks such as Rasa
Wrap-up and Future Directions
Requirements
- Fundamental understanding of programming
- Basic proficiency with Python syntax
- A strong motivation to explore AI technologies
Target Audience
- Newcomers to AI
- Developers
- Enthusiasts investigating chatbots and AI agents
