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Duration 14 hours (2 days)
Course Outline
Introduction to AI Agents and Chatbots
- Defining AI agents
- Chatbot types: Rule-based versus AI-driven
- Chatbot applications across various industries
Foundations of Natural Language Processing (NLP)
- Overview of NLP and its significance in chatbots
- Tokenization, stemming, and lemmatization
- Comprehending intents and entities
Planning Your Chatbot
- Establishing the purpose and scope of your 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 conversation
Enhancing Chatbot Performance
- Incorporating fallback and error-handling mechanisms
- Improving 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
- Ensuring scalability and optimal performance
Ethical Considerations and Best Practices
- Protecting user data privacy and security
- Designing inclusive and unbiased chatbots
- Maintaining transparency in AI interactions
Exploring Advanced Chatbot Features
- Leveraging machine learning for more sophisticated conversations
- Incorporating sentiment analysis
- Overview of advanced frameworks such as Rasa
Summary and Next Steps
Requirements
- Fundamental programming knowledge
- Familiarity with Python syntax
- A strong desire to explore AI technologies
Audience
- AI newcomers
- Programmers
- Enthusiasts interested in chatbots and AI agents
