Learn AI SaaS Building

Learn how an AI SaaS product is planned, built, priced and scaled, from the first idea to a running business. A structured startup course with short lessons, a stack designer that shows what every decision costs, guided TypeScript projects and a mentor chat for your questions. Built for founders, developers, students and product people starting from zero. WHAT YOU WILL LEARN 12 courses and 47 lessons, from beginner (A1) to advanced (C2): • SaaS business models and how to spot a market opportunity • Prototyping your first MVP: scope, prototyping tools, user flows and wireframes • Monetization and growth: subscription models, pricing tiers, user acquisition, retention, product analytics and KPIs • Integrating AI models: choosing one, calling model APIs, preparing data • The frontend: frameworks, showing model output, UX best practices • Responsible development: bias, explainability, fairness and accountability • Backend development: RESTful API design, databases, authentication and authorization • Cloud deployment: Docker containers and CI/CD • Security and compliance: GDPR, CCPA, threat modeling, secure coding • Model lifecycle: versioning, A/B tests, monitoring • Scaling: microservices, load balancing, caching, serverless functions • What comes next: generative models and edge computing in SaaS DESIGN YOUR OWN STACK The My Stack tab turns software architecture into four decisions every SaaS app has to make: sign-in, database, model and payments. Pick one of each and watch the architecture diagram, an estimated monthly bill at 1,000 users and the TypeScript types of your system follow. Change a decision and everything updates. • Scale: drag the monthly active users dial and see where the cheapest option changes • Trade-offs: what each choice buys you and where it breaks • Economics: monthly revenue, gross margin and the break-even conversion rate for your price Cost figures are illustrative teaching estimates, not price quotes. This is system design you can see before you write a line of code. GUIDED TYPESCRIPT PROJECTS 20 guided builds, step by step, with code that runs on a real server: • An API request and response contract • A usage quota and a token bucket rate limiter • Retry with exponential backoff • Cursor pagination, feature flags and a TTL cache • Webhook validation and a request state machine • Safe parsing of unknown data and typed results Each step teaches one idea, you pick or type the line, and the program prints its result. Good practice for backend development and full stack interviews. AI MENTOR Stuck on pricing, an API design or a TypeScript error? Ask the mentor and get a clear answer. Free users get a daily question allowance; Pro makes it unlimited. PRACTICE AND PROGRESS • Cheatsheet, mini quizzes and flashcard review • Code examples, notes and saved items • Interview questions to prepare for developer roles • Final exam and a certificate of completion • Streaks, XP, leaderboard and reminders • World Coding Challenge for extra practice • App interface in 22 languages WHO IT IS FOR • First-time founders who want to understand an AI startup before they build one • Developers moving from code to product, pricing and system design • Product managers and students learning how SaaS apps make money • Anyone curious about building apps and a business around them FREE AND PRO Free to start: the first course, the first guided project, the stack designer and a daily mentor allowance are free. Pro opens every course and project, the full trade-off and economics readings, unlimited mentor questions and removes ads. Download Learn AI SaaS Building and design your first SaaS stack today. Privacy Policy: https://www.coddykit.com/terms/privacy-policy