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Course Outline
Introduction to AI Agents and Chatbots
- Defining AI agents
- Chatbot types: Rule-based versus AI-driven
- Chatbot applications across various industries
Fundamentals of Natural Language Processing (NLP)
- Overview of NLP and its significance in chatbots
- Tokenization, stemming, and lemmatization
- Understanding intents and entities
Planning Your Chatbot
- Defining the purpose and scope of your 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
- Enriching responses with external APIs
- Testing and debugging your chatbot
Deploying Your Chatbot
- Hosting your 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
- Utilising machine learning for improved conversations
- Incorporating sentiment analysis
- Overview of advanced frameworks such as Rasa
Summary and Next Steps
Requirements
- Fundamental understanding of programming concepts
- Basic proficiency with Python syntax
- A strong interest in learning about AI technologies
Target Audience
- Individuals new to AI concepts
- Programmers
- Enthusiasts exploring the domains of chatbots and AI agents
14 Hours
