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Course Outline
Introduction to AI Agents and Chatbots
- Defining AI agents and their role.
- Distinguishing between rule-based and AI-driven chatbot types.
- Examining the application of chatbots across various sectors.
Foundations of Natural Language Processing (NLP)
- An overview of NLP and its significance in chatbot development.
- Key processes: tokenization, stemming, and lemmatization.
- Identifying intents and entities within conversations.
Strategizing Your Chatbot
- Establishing the objective and scope of your chatbot project.
- Structuring effective conversational flows.
- Assembling training datasets for chatbot responses.
Developing Your Initial Chatbot
- Configuring the necessary development environment.
- Building a basic chatbot using Python and Flask.
- Integrating fundamental NLP features for conversation handling.
Enhancing Chatbot Performance
- Implementing fallback and error-handling mechanisms.
- Improving response quality through external APIs.
- Conducting thorough testing and debugging.
Deploying Your Chatbot
- Hosting the chatbot on a local server.
- Connecting the chatbot to major messaging platforms.
- Ensuring system scalability and optimal performance.
Ethical Considerations and Best Practices
- Safeguarding user data privacy and security.
- Designing chatbots that are inclusive and free from bias.
- Maintaining transparency in AI-driven interactions.
Advanced Chatbot Features
- Leveraging machine learning to enhance conversational capabilities.
- Incorporating sentiment analysis for better user understanding.
- Reviewing advanced frameworks such as Rasa.
Summary and Next Steps
Requirements
- Fundamental understanding of programming concepts.
- Proficiency with Python syntax.
- A strong desire to explore AI technologies.
Target Audience
- Individuals new to Artificial Intelligence.
- Programmers seeking to expand their AI skillset.
- Enthusiasts interested in exploring chatbots and AI agents.
14 Hours
