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Duration 14 hours
Course Outline
Introduction to AI Agents and Chatbots
- Defining AI agents.
- Chatbot categories: Rule-based vs AI-driven.
- Industrial applications of chatbots.
Foundations of Natural Language Processing (NLP)
- Overview of NLP and its function within chatbots.
- Tokenization, stemming, and lemmatization.
- Comprehending intents and entities.
Planning Your Chatbot
- Establishing the purpose and scope of your chatbot.
- Designing conversational flows.
- Generating training datasets for chatbot responses.
Developing Your First Chatbot
- Configuring the development environment.
- Constructing a basic chatbot using Python and Flask.
- Implementing fundamental NLP features for dialogue.
Enhancing Chatbot Performance
- Incorporating fallback and error-handling mechanisms.
- Enriching responses through external APIs.
- Testing and debugging your chatbot.
Deploying Your Chatbot
- Hosting the chatbot on a local server.
- Integrating the chatbot with messaging platforms.
- Ensuring scalability and optimal performance.
Ethical Considerations and Best Practices
- Safeguarding user data privacy and security.
- Designing inclusive and unbiased chatbots.
- Maintaining transparency in AI interactions.
Exploring Advanced Chatbot Features
- Utilizing machine learning for improved conversations.
- Integrating sentiment analysis.
- Overview of advanced frameworks such as Rasa.
Summary and Next Steps
Requirements
- Foundational programming knowledge.
- Acquaintance with Python syntax.
- A keen interest in learning about AI technologies.
Audience
- Novices in AI.
- Programmers.
- Enthusiasts investigating chatbots and AI agents.
