Lilly Tech Systems
Designing AI Chatbot Platforms
Build production-grade chatbot systems from scratch. This course covers the complete architecture stack — from conversation engines and tool integration to multi-channel delivery, safety guardrails, and scaling operations. Every lesson includes real code, architecture diagrams, and patterns used at companies shipping chatbots to millions of users.
Course Lessons
Follow the lessons in order or jump to any topic you need.
1. Chatbot Architecture Patterns
Intent-based vs LLM-based vs hybrid architectures, conversation management, session handling, and multi-turn context design.
2. Conversation Engine Design
Dialog state machines, slot filling, context window management, and conversation memory with short-term and long-term storage.
3. Integration & Tool Use Layer
Function calling architecture, API orchestration, database queries from chat, webhook design, and error handling for tool failures.
4. Multi-Channel Architecture
Web, mobile, Slack, Teams, WhatsApp integration with message normalization, channel-specific rendering, and unified history.
5. Safety, Guardrails & Moderation
Input/output filtering, PII detection and redaction, topic boundaries, human escalation, and content policy enforcement.
6. Scaling & Operations
Multi-tenant architecture, rate limiting, conversation analytics, A/B testing responses, cost management, and monitoring.
7. Best Practices & Checklist
Production readiness checklist, common chatbot failures, debugging conversation quality, and comprehensive FAQ.