Overview
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Learn to build and launch a complete Software as a Service (SaaS) application using AI-assisted development techniques. This course walks through the entire product lifecycle, from planning a Minimum Viable Product (MVP) to deploying a monetized Application Programming Interface (API) service. You will build a Python API using FastAPI, define data models, create documented endpoints, and verify behavior with an automated pytest test harness. The course covers Docker containerization from Dockerfile creation through container testing, automated builds via Continuous Integration (CI) pipelines, and publishing images to a container registry for production distribution. In the second module, you will build the go-to-market foundation: designing conversion-focused landing pages, structuring pricing tiers, deploying a marketing site to GitHub Pages, implementing API key authentication for metered access, and writing developer documentation that drives adoption. Throughout the course, Large Language Model (LLM) tools accelerate development from architecture planning through code generation. By completing this course, you will have the skills to take an AI-powered SaaS product from concept to production launch.
Syllabus
- Building the SaaS Application
- Marketing and Monetization
- Capstone Project
Taught by
Alfredo Deza
Reviews
5.0 rating, based on 1 Class Central review
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I recently built a multi-tenant SaaS application after taking this course, and that's where the material really clicked for me. Instead of just learning individual technologies, I started thinking about the application as a production system: multi-tenancy, architecture, authentication, scalability, deployment, and how AI can accelerate the development workflow. the biggest value for me was being able to take the concepts from the course and actually implement them in a real project. It changed my perspective from simply "building features" to thinking about how the entire SaaS should work as a product. Definitely one of those courses where building something afterward makes the concepts stick.