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Course Outline
Introduction to AI Agents and Chatbots
- The definition of AI agents
- Chatbot categories: Rule-based versus AI-driven
- Chatbot applications across various sectors
Fundamentals of Natural Language Processing (NLP)
- An overview of NLP and its function in chatbots
- Tokenization, stemming, and lemmatization
- Comprehending intents and entities
Planning Your Chatbot
- Defining the objective and scope of your chatbot
- Designing conversational flows
- Creating training datasets for chatbot responses
Developing Your First Chatbot
- Setting up the development environment
- Constructing a basic chatbot using Python and Flask
- Implementing 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 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
- Applying machine learning for improved conversations
- Incorporating sentiment analysis
- An overview of advanced frameworks such as Rasa
Summary and Next Steps
Requirements
- Foundational knowledge of programming
- Proficiency with Python syntax
- A strong interest in exploring AI technologies
Target Audience
- Beginners in AI
- Developers
- Enthusiasts investigating chatbots and AI agents
14 Hours
