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Course Outline
Introduction to AI Agents and Chatbots
- Defining AI agents
- Categorizing chatbots: Rule-based versus AI-driven models
- Industrial applications of chatbots across various sectors
Fundamentals of Natural Language Processing (NLP)
- An overview of NLP and its significance in chatbot development
- Key techniques such as tokenization, stemming, and lemmatization
- Recognizing intents and entities in user input
Planning Your Chatbot
- Establishing the purpose and scope of your chatbot project
- Designing structured conversational flows
- Developing training datasets to drive chatbot responses
Building Your First Chatbot
- Configuring the development environment
- Constructing a basic chatbot using Python and Flask
- Integrating fundamental NLP features to manage conversations
Optimizing Chatbot Performance
- Incorporating fallback strategies and error-handling protocols
- Enhancing response quality through external API integrations
- Conducting thorough testing and debugging sessions
Deploying Your Chatbot
- Hosting the chatbot on a local server infrastructure
- Connecting the chatbot to popular messaging platforms
- Ensuring system scalability and high performance
Ethical Considerations and Best Practices
- Safeguarding user data privacy and security standards
- Designing chatbots that are inclusive and free from bias
- Maintaining transparency in all AI-driven interactions
Advanced Chatbot Features
- Leveraging machine learning to refine conversational quality
- Implementing sentiment analysis capabilities
- Introducing advanced frameworks such as Rasa
Conclusion and Future Directions
Requirements
- Foundational programming knowledge
- Working familiarity with Python syntax
- A strong desire to acquire knowledge in AI technologies
Target Audience
- Beginners in the field of AI
- Developers and programmers
- Enthusiasts interested in exploring chatbots and AI agents
14 Hours