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Course Outline
Introduction to AI Agents and Chatbots
- Defining AI agents
- Chatbot categories: Rule-based vs AI-driven
- Chatbot applications across different industries
Foundations of Natural Language Processing (NLP)
- Overview of NLP and its significance in chatbots
- Tokenization, stemming, and lemmatization techniques
- Understanding intents and entities
Strategic Planning for Your Chatbot
- Establishing the purpose and scope of your chatbot
- Designing effective conversational flows
- Developing training datasets for chatbot responses
Building Your First Chatbot
- Configuring the development environment
- Creating a simple chatbot with Python and Flask
- Integrating basic NLP features for conversation
Optimizing Chatbot Performance
- Incorporating fallback and error-handling strategies
- Enhancing responses through external APIs
- Testing and debugging the chatbot
Deploying Your Chatbot
- Hosting the chatbot on a local server
- Connecting the chatbot to messaging platforms
- Ensuring scalability and performance efficiency
Ethical Considerations and Best Practices
- Safeguarding user data privacy and security
- Designing inclusive and unbiased chatbots
- Maintaining transparency in AI interactions
Exploring Advanced Chatbot Capabilities
- Leveraging machine learning for enhanced conversations
- Integrating sentiment analysis
- Overview of advanced frameworks such as Rasa
Summary and Future Directions
Requirements
- Foundational programming knowledge
- Proficiency with Python syntax
- A strong curiosity to explore AI technologies
Target Audience
- AI beginners
- Programmers
- Enthusiasts interested in exploring chatbots and AI agents
14 Hours
