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Course Outline
Introduction to AI Agents and Chatbots
- Defining AI agents
- Chatbot types: Rule-based versus AI-driven
- Industry applications of chatbots
Fundamentals of Natural Language Processing (NLP)
- The role of NLP in chatbot functionality
- Tokenization, stemming, and lemmatization
- Recognizing intents and entities
Chatbot Planning Phase
- Establishing the chatbot’s objective and scope
- Structuring conversational flows
- Assembling training datasets for responses
Building Your First Chatbot
- Configuring the development environment
- Constructing a basic chatbot with Python and Flask
- Integrating foundational NLP features for dialogue
Optimizing Chatbot Performance
- Incorporating fallback and error-handling strategies
- Enhancing responses through external APIs
- Testing and debugging the chatbot
Chatbot Deployment
- Hosting the chatbot on a local server
- Connecting the chatbot to messaging platforms
- Maintaining scalability and performance standards
Ethical Guidelines and Best Practices
- Safeguarding user data privacy and security
- Creating inclusive and unbiased chatbots
- Promoting transparency in AI interactions
Advanced Chatbot Capabilities
- Leveraging machine learning for better conversations
- Integrating sentiment analysis
- Overview of advanced frameworks such as Rasa
Summary and Future Directions
Requirements
- Foundational programming knowledge
- Aquaintance with Python syntax
- Motivation to explore AI technologies
Target Audience
- AI newcomers
- Programmers
- Enthusiasts exploring chatbots and AI agents
14 Hours
