Course · Training · Workshop
Build a SaaS Product in two days
From empty repository to running SaaS product in two days: sign-up and sign-in, core features, AI features and payments — built, tested and deployed with AI assistance.
In this intensive hands-on course you build a complete SaaS product under expert guidance — from idea to paying customer. Instead of isolated exercises, two days produce a real product: registration and login, core features, AI-based features and full payment handling with subscriptions. You work the way modern product development works today: with AI coding tools as an active peer programmer. The course shows how agentic workflows let you build production-ready software in a fraction of the usual time — without sacrificing architecture, security or maintainability. At the end of the two days you have a deployed, working SaaS product with user management, AI features and payment integration — and the workflow to build the next product on your own.
Trainers
What participants say
The “AI Assisted Engineering On-Boarding” course was an outstanding experience. It provided a clear, practical, and inspiring introduction to how AI can support modern engineering work. The content was well structured, easy to follow, and highly relevant to real day-to-day challenges. What stood out most was the strong balance between theory and hands-on application. The course not only explained the concepts clearly, but also showed how to use AI tools effectively and responsibly in actual engineering scenarios. It made complex topics feel accessible and immediately useful. I especially appreciated the engaging format, the high quality of the materials, and the clear expertise of the instructors. The course created a motivating learning environment and gave me valuable confidence in applying AI-assisted approaches in my work. Overall, I can highly recommend “AI Assisted Engineering On-Boarding” to anyone who wants a practical, forward-looking, and well-designed introduction to AI in engineering. It is an excellent course that delivers real value from start to finish.
Leiter IT Entwicklung Platform & Services
The AI Assisted Engineering On-Boarding course was very practical and easy to follow and awesome! I especially appreciated the hands-on approach and the focus on real use cases. It gave me a clear understanding of how to work effectively with Claude Code in a development context. After the course, I felt much more confident getting started and applying it in daily work.
Frontend Web Developer
The course fully met all my expectations and provided a smooth introduction to the subject. With the help of the instructor and the course materials, I was able to easily overcome any initial hurdles, allowing me to get started using the agents as quickly as possible.
Senior Software Engineer
I really enjoyed the lessons and learned a lot of new stuff on this course. It teaches not only fundamentals but also how to be prepared for your next challenges. The tooling that is used is very sturdy, works very well in the lab setup and is very diverse, you can pick what you like in your projects. And most importantly: I did not write any piece of code myself, the agents did everything!
Software Engineer I
Great training on agentic software development. The trainer obviously had lots of hands-on experience with the topic, there was no question that he couldn't answer. Lab environment was very well thought through and helped a lot in practicing what we learned.
Senior Software Design Engineer
Very concrete and practical training on "Agentic Software Engineering", with a good amount of theoretical background to understand what happens behind the scenes. The instructor was very knowledgeable and willing to answer the multitude of questions.”
Software Engineer I Karakun
* Voices from this or related courses.
Content
This training is aimed at developers and technically minded founders who want to build and deploy a complete SaaS product in two days. The course is framework-flexible — a modern web stack is used, and the approach transfers to other stacks.
The course consists of the following topics and can be extended or adapted depending on the audience. For in-house courses, your own product idea can be built instead of the example product.
– From idea to product plan:
- Sharpening the product idea: target audience, core value, MVP scope
- Feature prioritisation: what belongs in version 1, what doesn’t?
- Stack choice and architecture for fast, maintainable development
- Hands-on: product plan and data model for the course product
– Project setup and AI-assisted workflow:
- Repository, project scaffold and development environment
- AI coding tools as peer programmers: planning, context, iteration
- Prompt strategies for feature development and refactoring
- Hands-on: set up the project and build the first pages with AI assistance
– Authentication and user management:
- Sign-up, sign-in, session handling and password reset
- Social login / OAuth integration
- Roles, permissions and tenant separation
- Security fundamentals: input validation, CSRF, secure sessions
- Hands-on: implement the complete auth flow
– Building core features:
- Implementing the data model: entities, relations, migrations
- CRUD features with clean API and UI structure
- Testing strategy: what to test when AI writes the code?
- Hands-on: build the product’s core features
– Integrating AI features:
- Connecting LLM APIs: use cases, model choice, cost control
- AI features with real value: assistance, generation, analysis
- Streaming responses and asynchronous processing
- Handling user data: privacy and guardrails
- Hands-on: build an AI feature from idea to UI
– Payments and subscriptions:
- Payment provider integration (Stripe): checkout and billing portal
- Subscription models: plans, trials, upgrades
- Webhooks: processing payment events reliably
- Feature gating by plan
- Hands-on: complete payment flow up to a test purchase
– Deployment and operations:
- Deploying to a production-like environment
- Secrets, configuration and environments
- Logging, monitoring and error handling
- Hands-on: deploy the product live
– Launch fundamentals:
- Landing page and onboarding flow
- Analytics and feedback loop
- Next steps: from course product to your own product
At the end of the two days you have a deployed SaaS product with registration, core features, AI features and working payment handling — and a repeatable workflow for the next product.
The actual course content may differ from the above depending on the trainer, delivery, duration and the composition of participants.
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More about SaaS product development with AI
AI coding tools have drastically shortened the time from idea to running product. What used to take weeks — authentication, data model, billing, deployment — now takes days. What matters is not the tool but the workflow: those who stay in control of architecture decisions, security and product focus build production-ready software with AI assistance instead of prototype junk.Further resources:
History and development
SaaS has been the dominant model for software products since the 2000s: subscriptions instead of licences, continuous delivery instead of release cycles. The entry barrier long sat in the infrastructure — auth, billing and deployment consumed weeks of development time before the first feature existed.
Two developments changed that: managed services (payment providers, auth services, PaaS hosting) turned the base infrastructure into a commodity, and AI coding tools from 2023 onwards massively accelerated the remaining development work. For the first time it is realistic to build a complete, production-capable SaaS product in a few days — provided you master the workflow and make the right architecture decisions.