From Architecture to Production
A lab-heavy, "code-on" workshop where every module includes hands-on coding and live tool integration. You'll design an autonomous agent and walk away with a tested, traced chatbot ready for customer-service deployment.
Technical prerequisites: foundational Python knowledge and familiarity with LLM APIs.
Phase 1 — Architecture & Autonomy
Define the orchestration layer, memory, and planning capabilities that differentiate true agents from simple chatbots.
45 minutes instruction
30 minutes lab
Phase 2 — Knowledge & Action Layer
Build RAG pipelines and connect agents to live APIs for CRM and ticketing tasks.
55 minutes instruction
35 minutes lab
Phase 3 — Guardrails & Deployment
Implement safety filters, hallucination detection, and human-in-the-loop escalation triggers before shipping.
35 minutes instruction
25 minutes lab
Workshop Essentials
Technical prerequisites — requires foundational Python knowledge and familiarity with LLM APIs.
"Code-on" experience — a lab-heavy format where every module includes hands-on coding and live tool integration.
The production-ready prototype — every participant leaves with a tested, traced chatbot ready for customer-service deployment.
