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Course Outline
Introduction to AI Agents and Chatbots
- Defining AI agents
- Categorizing chatbots: Rule-based versus AI-driven
- Industrial applications of chatbots
Foundations of Natural Language Processing (NLP)
- Overview of NLP and its function in chatbots
- Processes of tokenization, stemming, and lemmatization
- Interpreting intents and entities
Planning Your Chatbot
- Establishing the purpose and scope of your chatbot
- Structuring conversational flows
- Developing training datasets for chatbot responses
Building Your First Chatbot
- Configuring the development environment
- Creating a basic chatbot with Python and Flask
- Integrating essential NLP features for conversation
Enhancing Chatbot Performance
- Incorporating fallback and error-handling protocols
- Enriching 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
- Guaranteeing scalability and performance
Ethical Considerations and Best Practices
- Safeguarding user data privacy and security
- Designing inclusive and unbiased chatbots
- Upholding transparency in AI interactions
Exploring Advanced Chatbot Features
- Leveraging machine learning for better 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
- Individuals new to AI
- Developers
- Enthusiasts investigating chatbots and AI agents
14 Hours
