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Duration 14 hours (2 days)
Course Outline
Fundamentals of AI Agents and Chatbots
- Defining AI agents
- Categorizing chatbots: Rule-based versus AI-driven
- Chatbot applications across various industries
Foundations of Natural Language Processing (NLP)
- Overview of NLP and its critical role in chatbot functionality
- Techniques for tokenization, stemming, and lemmatization
- Recognizing intents and entities
Strategizing Your Chatbot Design
- Establishing the purpose and scope of your chatbot
- Mapping out conversational flows
- Constructing training datasets for chatbot responses
Constructing Your Initial Chatbot
- Configuring the development environment
- Building a basic chatbot with Python and Flask
- Implementing foundational NLP features for conversation management
Enhancing Chatbot Performance
- Incorporating fallback and error-handling protocols
- Augmenting responses through external APIs
- Testing and debugging the chatbot
Launching Your Chatbot
- Hosting the chatbot on a local server
- Integrating the chatbot with messaging platforms
- Ensuring scalability and optimal performance
Ethical Considerations and Industry Best Practices
- Safeguarding user data privacy and security
- Designing chatbots that are inclusive and unbiased
- Upholding transparency in AI interactions
Exploring Advanced Chatbot Capabilities
- Leveraging machine learning for superior conversations
- Integrating sentiment analysis
- Introduction to advanced frameworks such as Rasa
Summary and Future Directions
Requirements
- Fundamental programming knowledge
- Proficiency with Python syntax
- A strong motivation to explore AI technologies
Target Audience
- Individuals new to AI concepts
- Programmers
- Enthusiasts seeking to delve into chatbots and AI agents
