Building AI Powered Chatbots Without Programming

Module 1: Introduction to AI Chatbots & Architecture

⏳ 1.5 hours

• Topics: Evolution of chatbots, LLM basics, system architecture.

• Hands-on: Sketch a high-level architecture for an AI chatbot using GPT APIs.

Module 2: Intent Recognition & Slot Filling

⏳ 2 hours

• Topics: NLU concepts, training intent classifiers, extracting entities.

• Hands-on: Build and evaluate an intent classifier; implement slot-filling logic.

Module 3: Conversational Flow Design

⏳ 2 hours

• Topics: Dialogue state management, decision trees vs. generative approaches.

• Hands-on: Create multi-turn flows with context variables in a chatbot framework.

Module 4: Integrating LLMs into Your Bot

⏳ 2 hours

• Topics: Calling GPT/OpenAI APIs, prompt engineering, handling API responses.

• Hands-on: Implement a middleware that formats user inputs into prompts and parses outputs.

Module 5: Rich Messaging & UI Components

⏳ 1.5 hours

• Topics: Quick replies, carousels, buttons, images, and attachments.

• Hands-on: Enhance your bot’s responses with interactive UI elements.

Module 6: Multi-Channel Deployment

⏳ 2 hours

• Topics: Connecting to Slack, WhatsApp, and web chat widgets.

• Hands-on: Deploy your chatbot to Slack and test real-time interactions.

Module 7: Testing, Analytics & Optimization

⏳ 1.5 hours

• Topics: Unit testing, conversational QA, user metrics tracking, A/B testing.

• Hands-on: Set up analytics dashboards and run a conversation-flow experiment.

Module 8: Security, Privacy & Compliance

⏳ 1 hour

• Topics: Data handling, GDPR/CCPA considerations, input sanitization.

• Hands-on: Implement logging and consent management for user data.

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