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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
Strategizing Your Chatbot
- Establishing the purpose and scope of your chatbot
- Architecting conversational flows
- Generating training datasets for chatbot responses
Constructing Your First Chatbot
- Configuring the development environment
- Building a basic chatbot using Python and Flask
- Integrating basic NLP features for dialogue
Enhancing Chatbot Performance
- Implementing fallback and error-handling mechanisms
- Enriching responses with external APIs
- Testing and debugging your chatbot
Deploying Your Chatbot
- Hosting your chatbot on a local server
- Connecting the chatbot to messaging platforms
- Safeguarding scalability and 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 superior conversations
- Integrating sentiment analysis
- Introduction to advanced frameworks such as Rasa
Summary and Future Steps
Requirements
- Foundational understanding of programming
- Proficiency with Python syntax
- Motivation to explore AI technologies
Target Audience
- Beginners in AI
- Developers
- Enthusiasts investigating chatbots and AI agents
14 Hours
