Multi-Platform
Chatbot Deployment
One-on-one work with a specialist. A structured path from your first bot to a production-ready system running across Telegram, Viber, WhatsApp, and web simultaneously — adapted to your actual starting point, not a generic syllabus.
What the program covers
Chatbot deployment is not a single skill — it is a stack of decisions: platform selection, API integration, conversation logic, error handling, and maintenance. Each one interacts with the others.
The program addresses all of these in sequence, with each session building directly on the previous one. Nothing is introduced before you have the context to use it.
Sessions are scheduled around your availability. Between sessions, you work on assigned tasks and send questions directly — not to a forum, not to a chatbot. The specialist reviews your code, identifies where the logic breaks, and explains what to adjust and why.
The program has been running since 2016. The structure has changed considerably since then — mostly because the platforms changed, and what worked on Telegram in 2018 is a different problem from deploying on five channels in 2024.
How the work is structured
Four phases, each with a defined output. Progress is visible because each phase ends with something that runs — not a certificate, an actual working system.
Diagnostic
Before any code, a session to map what you already know and what your deployment target looks like. Platform constraints vary significantly — a Viber bot and a WhatsApp bot require different API approaches from day one.
Foundation
Webhook setup, message routing, and basic conversation logic. You build a minimal bot that actually receives and responds to messages on your chosen platform. Errors are expected — finding them is part of the module.
Expansion
Adding a second and third platform without duplicating your logic. This is where most self-taught developers get stuck — the temptation to copy-paste is high and the cost becomes clear later. The module addresses abstraction early.
Production
Deployment, monitoring, and maintenance patterns. A bot that works in development and a bot that handles real traffic at 2am are different problems. This phase covers logging, fallback handling, and how to update without breaking active conversations.
Start with a diagnostic