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Course Outline
Fundamentals of AI Agents and Chatbots
- Defining AI agents
- Categorizing chatbots: Rule-based vs AI-driven
- Industry applications of chatbots
Core Concepts of Natural Language Processing (NLP)
- Introduction to NLP and its function in chatbots
- Techniques for tokenization, stemming, and lemmatization
- Recognizing intents and entities
Strategic Planning for Your Chatbot
- Establishing the objective and scope of your chatbot
- Architecting conversational flows
- Generating training datasets for chatbot responses
Building Your First Chatbot
- Configuring the development environment
- Constructing a basic chatbot with Python and Flask
- Integrating fundamental NLP features for dialogue
Optimizing Chatbot Performance
- Incorporating fallback and error-handling protocols
- Enriching responses through external APIs
- Conducting testing and debugging procedures
Rolling Out Your Chatbot
- Hosting the chatbot on a local server
- Connecting the chatbot to messaging platforms
- Guaranteeing scalability and system performance
Ethical Frameworks and Best Practices
- Safeguarding user data privacy and security
- Creating inclusive and unbiased chatbot experiences
- Maintaining transparency in AI interactions
Advanced Chatbot Capabilities
- Leveraging machine learning for enhanced conversations
- Integrating sentiment analysis
- Overview of sophisticated frameworks such as Rasa
Recap and Future Directions
Requirements
- Foundational understanding of programming concepts
- Proficiency with Python syntax
- A strong motivation to explore AI technologies
Target Audience
- Beginners in AI
- Programmers
- Enthusiasts investigating chatbots and AI agents
14 Hours
