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Duration 14 hours
Course Outline
Introduction to AI Agents and Chatbots
- Definition and role of AI agents
- Categories of chatbots: rule-based compared to AI-driven
- Applications of chatbots across various industries
Fundamentals of Natural Language Processing (NLP)
- Overview of NLP and its significance in chatbots
- Processes of tokenization, stemming, and lemmatization
- Comprehending intents and entities
Planning Your Chatbot
- Defining the objective and scope of your chatbot
- Designing the sequence of conversational flows
- Generating training datasets for chatbot responses
Developing Your First Chatbot
- Configuring the development environment
- Creating a basic chatbot using Python and Flask
- Implementing essential NLP features for conversation
Enhancing Chatbot Performance
- Incorporating fallback and error-handling mechanisms
- Improving responses through external APIs
- Testing and debugging the chatbot
Launching Your Chatbot
- Hosting the chatbot on a local server
- Integrating the chatbot with messaging platforms
- Maintaining 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
- Utilizing machine learning to improve conversations
- Integrating sentiment analysis
- Overview of advanced frameworks such as Rasa
Summary and Future Steps
Requirements
- Fundamental understanding of programming
- Basic familiarity with Python syntax
- A strong desire to explore AI technologies
Target Audience
- Beginners in AI
- Programmers
- Enthusiasts interested in exploring chatbots and AI agents
