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Duration 14 hours
Course Outline
Introduction to AI Agents and Chatbots
- Definition and nature of AI agents.
- Categorization of chatbots: Rule-based versus AI-driven.
- Industrial applications of chatbots.
Fundamentals of Natural Language Processing (NLP)
- Overview of NLP and its function in chatbots.
- Tokenization, stemming, and lemmatization.
- Understanding intents and entities.
Planning Your Chatbot
- Defining the objective and scope of the chatbot.
- Designing conversational flows.
- Creating training datasets for chatbot responses.
Developing Your First Chatbot
- Setting up the development environment.
- Building a simple chatbot using Python and Flask.
- Implementing basic NLP features for conversation.
Enhancing Chatbot Performance
- Incorporating fallback and error-handling mechanisms.
- Augmenting responses with external APIs.
- Testing and debugging the chatbot.
Deploying Your Chatbot
- Hosting the chatbot on a local server.
- Integrating the chatbot with messaging platforms.
- Ensuring scalability and performance.
Ethical Considerations and Best Practices
- Protecting user data privacy and security.
- Designing inclusive and unbiased chatbots.
- Maintaining transparency in AI interactions.
Exploring Advanced Chatbot Features
- Leveraging machine learning for improved conversations.
- Incorporating sentiment analysis.
- Overview of advanced frameworks such as Rasa.
Summary and Future Directions
Requirements
- Foundational programming knowledge
- Familiarity with Python syntax
- Enthusiasm for learning about AI technologies
Target Audience
- Beginners in AI
- Programmers
- Individuals exploring chatbots and AI agents
