Build and Ship a Production AI SaaS: From Idea to Paying Users

A premium, complete and advanced course on building and shipping a real AI SaaS product in 2026 — from validating the idea to charging paying users. You will learn how to validate an AI product and scope a lean MVP, choose a modern stack (Next.js and React on the frontend, a typed backend, Postgres and pgvector), integrate LLM APIs the right way (streaming, function calling, structured outputs, prompt caching and cost control), design RAG for a multi-tenant product, implement authentication and multi-tenancy with proper data isolation, add subscription and usage-based billing with Stripe and webhooks, defend the product with rate limiting and abuse prevention, run observability and evaluations in production, deploy to Vercel or containers on the cloud, manage secrets and security, and execute a minimal go-to-market while keeping unit economics and scaling costs under control. The course embeds legal and compliance guardrails throughout — PCI scope reduction with Stripe, GDPR on user data, LLM provider terms of service, and privacy-by-design — and closes with a comprehensive final assessment.