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Duration 14 hours
Course Outline
Introduction to AI Agents and Chatbots
- Defining AI agents
- Categorizing chatbots: Rule-based vs AI-driven
- Chatbot applications across various industries
Foundations of Natural Language Processing (NLP)
- Overview of NLP and its function in chatbots
- Tokenization, stemming, and lemmatization processes
- Identifying intents and entities
Planning Your Chatbot Strategy
- Defining the purpose and scope of your chatbot
- Mapping out conversational flows
- Generating training datasets for chatbot responses
Building Your First Chatbot
- Configuring the development environment
- Constructing a basic chatbot with Python and Flask
- Integrating fundamental NLP features for dialogue
Enhancing Chatbot Performance
- Incorporating fallback and error-handling protocols
- Enriching responses via external APIs
- Testing and debugging the chatbot system
Deployment Strategies for Your Chatbot
- Hosting the chatbot on a local server
- Connecting the chatbot to messaging platforms
- Guaranteeing scalability and optimal performance
Ethical Standards and Best Practices
- Safeguarding user data privacy and security
- Creating inclusive and unbiased chatbot experiences
- Maintaining transparency in AI interactions
Advanced Chatbot Features
- Leveraging machine learning for superior conversations
- Integrating sentiment analysis
- Overview of advanced frameworks such as Rasa
Summary and Future Pathways
Requirements
- Foundational programming knowledge
- Comfort with Python syntax
- A strong drive to learn about AI technologies
Target Audience
- AI beginners
- Programmers
- Enthusiasts exploring chatbots and AI agents
