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Course Outline
Introduction to AI Agents and Chatbots
- Defining AI agents
- Chatbot categories: Rule-based vs. AI-driven
- Industrial applications of chatbots
Foundations of Natural Language Processing (NLP)
- Overview of NLP and its function in chatbots
- Tokenization, stemming, and lemmatization
- Recognizing intents and entities
Planning Your Chatbot
- Establishing the purpose and scope of the chatbot
- Designing conversational flows
- Curating training datasets for chatbot responses
Building Your First Chatbot
- Configuring the development environment
- Constructing a basic chatbot using Python and Flask
- Implementing core NLP features for conversation
Enhancing Chatbot Performance
- Introducing fallback and error-handling mechanisms
- Augmenting responses via external APIs
- Testing and debugging the chatbot
Deploying Your Chatbot
- Hosting the chatbot on a local server
- Integrating the chatbot with messaging platforms
- Ensuring scalability and optimal performance
Ethical Considerations and Best Practices
- Safeguarding user data privacy and security
- Creating inclusive and unbiased chatbots
- Maintaining transparency in AI interactions
Exploring Advanced Chatbot Features
- Leveraging machine learning for enhanced conversations
- Incorporating sentiment analysis
- Overview of advanced frameworks like Rasa
Summary and Next Steps
Requirements
- Fundamental programming knowledge
- Proficiency in Python syntax
- A strong motivation to explore AI technologies
Target Audience
- Beginners in AI
- Developers and Programmers
- Enthusiasts exploring chatbots and AI agents
14 Hours
