Building Your First Chatbot: AI Agents in Action Training Course

Introduction to AI Agents and Chatbots

• Defining AI agents
• Classifying chatbots: Rule-based versus AI-driven
• The role of chatbots in various industries

Foundations of Natural Language Processing (NLP)

• An overview of NLP and its function in chatbots
• Processes for tokenization, stemming, and lemmatization
• Identifying intents and entities

Planning Your Chatbot

• Establishing the purpose and scope of your chatbot
• Structuring conversational flows
• Generating training datasets for chatbot responses

Developing Your First Chatbot

• Configuring the development environment
• Constructing a basic chatbot with Python and Flask
• Integrating fundamental NLP features for conversation

Enhancing Chatbot Performance

• Incorporating fallback and error-handling mechanisms
• Augmenting responses through external APIs
• Conducting tests and debugging for your chatbot

Deploying Your Chatbot

• Hosting the chatbot on a local server
• Connecting the chatbot with messaging platforms
• Ensuring scalability and optimal performance

Ethical Considerations and Best Practices

• Safeguarding user data privacy and security
• Creating inclusive and unbiased chatbots
• Preserving transparency in AI interactions

Exploring Advanced Chatbot Features

• Leveraging machine learning for enhanced conversations
• Integrating sentiment analysis
• An introduction to advanced frameworks such as Rasa

Summary and Next Steps