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Duration 14 hours
Course Outline
Introduction to AI Agents and Chatbots
- Definition and nature of AI agents
- Chatbot varieties: Rule-based versus AI-driven
- Chatbot applications across different industries
Fundamentals of Natural Language Processing (NLP)
- Overview of NLP and its significance in chatbots
- Tokenization, stemming, and lemmatization techniques
- Comprehending intents and entities
Planning Your Chatbot Strategy
- Defining the purpose and scope of your chatbot
- Designing conversational flows
- Creating training datasets for chatbot responses
Developing Your First Chatbot
- Configuring the development environment
- Constructing a basic chatbot using Python and Flask
- Implementing basic NLP features for conversation
Enhancing Chatbot Performance
- Incorporating fallback and error-handling mechanisms
- Improving responses through 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
- 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 Next Steps
Requirements
- Fundamental understanding of programming concepts
- Proficiency with Python syntax
- A strong desire to acquire knowledge of AI technologies
Target Audience
- Individuals new to AI
- Developers
- Enthusiasts interested in exploring chatbots and AI agents
