Course Description
This course explores the development and application of AI-powered chat systems for question-and-answer (Q&A) tasks. Students will learn how chatbots and virtual assistants work, understand natural language processing (NLP) fundamentals, and gain hands-on experience in building simple AI chat solutions using available tools and APIs.
Course Modules:
Module 1: Introduction to AI Chat Systems
- What is an AI Chatbot?
- Use cases in education, healthcare, customer service, and tech support
- Rule-based vs AI-powered (NLP) bots
- Overview of popular platforms (ChatGPT, Google Dialogflow, Microsoft Bot Framework, IBM Watson)
Module 2: Architecture of a Q&A Chatbot
- Components: Input processor, NLP engine, Response generator, User interface
- Types of Q&A bots: Closed domain vs Open domain
- Dataset needs for training Q&A models
- Introduction to vector-based search (semantic search)
Module 3: Building a Simple Q&A Bot
- Tools & platforms (e.g., Dialogflow, Rasa, OpenAI API, Python + Flask)
- Designing conversation flows and intents
- Integrating FAQs or knowledge bases
- Deploying the bot on a web interface
Module 4: Enhancing User Experience
- Designing natural and intuitive conversations
- Handling errors and fallbacks
- Multi-turn dialogue and context management
- Voice-based interaction (optional)
Module 5: Ethics, Limitations, and Future Trends
- Bias and fairness in language models
- Privacy and data protection
- AI hallucinations and response validation
- Future of conversational AI and jobs
What's Included in the Course
🕒 Duration 2 Weeks (On-Demand)
⏱️ Daily Effort 1 Hour per Day
📥 Resources Many Downloadable Files
♾️ Access Full Lifetime Access
📱 Platform Accessible on Mobile and TV
📜 Certificate of Completion Included