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Course Outline
Introduction to AI Agents and Chatbots
- Defining AI agents
- Categories of chatbots: rule-based versus AI-driven
- Industrial applications of chatbots
Fundamentals of Natural Language Processing (NLP)
- Introduction to NLP and its significance in chatbots
- Tokenization, stemming, and lemmatization
- Recognizing intents and entities
Planning Your Chatbot
- Defining the objective and scope of your chatbot
- Designing conversational pathways
- Generating training datasets for chatbot responses
Building Your First Chatbot
- Configuring the development environment
- Creating a basic chatbot using Python and Flask
- Integrating basic NLP features for conversation
Enhancing Chatbot Performance
- Introducing fallback and error-handling mechanisms
- Improving responses through external APIs
- Testing and troubleshooting your chatbot
Launching Your Chatbot
- Hosting the chatbot on a local server
- Connecting the chatbot to messaging platforms
- Ensuring scalability and optimal 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
- Leveraging machine learning for refined conversations
- Integrating sentiment analysis
- Overview of advanced frameworks such as Rasa
Summary and Next Steps
Requirements
- Foundational understanding of programming
- Comfort with Python syntax
- A keen interest in exploring AI technologies
Target Audience
- Individuals new to AI
- Programmers
- Enthusiasts interested in chatbots and AI agents
14 Hours
