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Course Outline
Introduction to AI Agents and Chatbots
- What are AI agents?
- Types of chatbots: Rule-based vs AI-driven
- Applications of chatbots in various industries
Basics of Natural Language Processing (NLP)
- Overview of NLP and its role 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
Improving Chatbot Performance
- Adding fallback and error-handling mechanisms
- Enhancing 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 performance
Ethical Considerations and Best Practices
- Ensuring user data privacy and security
- Designing inclusive and unbiased chatbots
- Maintaining transparency in AI interactions
Exploring Advanced Chatbot Features
- Using machine learning for improved conversations
- Incorporating sentiment analysis
- Overview of advanced frameworks like Rasa
Summary and Next Steps
Requirements
- Basic knowledge of programming
- Familiarity with Python syntax
- Eagerness to learn about AI technologies
Audience
- AI beginners
- Programers
- Enthusiasts exploring chatbots and AI agents
14 Hours
Testimonials (1)
Trainer responding to questions on the fly.