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IT & ENGINEERING Advanced

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

Read a free preview of the first lesson No account, no card · the opening of Lesson 1, plus the interactive platform demo and the AI Professor Start now Finish the course with a publicly verifiable Certificate of Completion See the certificate

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.

10 modules
30 lessons
~25h duration
v1.0 version
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Hands-on exercises Real scenarios and practical exercises directly on the platform, with instant feedback
Progress & analytics A personal dashboard with statistics, streaks, scores and structured learning paths
Interactive AI quizzes Questions generated by AI and adapted to your level, with detailed explanations
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What you will learn

Practical skills you gain by completing this course

Idea and Product Validation for an AI SaaS
Choosing Your Stack: Frontend, Backend, and LLM APIs
Integrating the LLM: Streaming, Tools, and Cost Control
Vector Search and RAG for Your Product
Authentication and Multi-Tenancy
Billing with Stripe: Subscriptions, Webhooks, and Usage
Rate Limiting and Abuse Prevention
Observability and Evaluations in Production
Deployment, Security, and Go-to-Market
Final Quiz — Build and Ship a Production AI SaaS

Who it is for

Developers Software engineers Solution architects CTOs / Tech Leads Data Scientists ML Engineers DevOps Engineers

Recommended level

Advanced

Assumes hands-on experience with AI and complex scenarios.

Updates

Regular

Last update: Aug 8, 2026. Content kept up to date.

Category

IT & Engineering

A technical course for IT professionals — available with individual course access or the IT Pro / All Access bundle.

Advanced level

Hands-on experience required

Assumes practical experience with AI. Covers complex scenarios and advanced strategies.

Always up to date

Last update: Aug 8, 2026

The course is updated regularly with the latest information, tools and practices from the industry.

Practical and applied

30 lessons with real examples

Each lesson includes practical scenarios, actionable checklists and quizzes to check your understanding.

Certificate of Completion

You leave with proof anyone can check

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

A private attestation with a unique number and a QR code. A recruiter confirms it is authentic in a second, on the public verification page — no account, no cost.

What your certificate states for this course

  • Idea and Product Validation for an AI SaaS
  • Choosing Your Stack: Frontend, Backend, and LLM APIs
  • Integrating the LLM: Streaming, Tools, and Cost Control
  • Vector Search and RAG for Your Product
  • Authentication and Multi-Tenancy
  • Billing with Stripe: Subscriptions, Webhooks, and Usage
Verify a certificate Certification policy →

A private attestation of course completion. It is NOT a diploma or a state-recognised qualification under Romanian Laws 198/2023, 199/2023 or Government Ordinance 129/2000; employers may take it into account at their own discretion. Certification policy.

Anyone can verify it

Public verification page, QR code and cryptographic fingerprint — no account and no cost for the person checking.

Useful when job hunting

Add it to your CV and LinkedIn profile; a recruiter confirms authenticity with one click.

Transparent

It shows exactly what it attests: the course, the modules covered, the assessment score and the completion date.

Curriculum

10 modules, 30 lessons — structured to learn step by step.

10 modules
30 lessons
~25h of content
Interactive quizzes
Free preview available From Problem to AI Product: Validating the Idea
Read the preview
1 Free preview lesson From Problem to AI Product: Validating the Idea
Read the preview
2 Scoping the MVP and Where AI Adds Real Value
50 min
3 Unit Economics: Cost per User from Day One
50 min
1 The 2026 AI SaaS Stack: Next.js, Backend, and Data
50 min
2 Choosing Your LLM Provider and Models for 2026
51 min
3 Data Layer: Postgres, pgvector, and Managed Services
51 min
1 Streaming Responses and the Chat UX
50 min
2 Function Calling and Tool Use in Production
51 min
3 Cost Control: Token Budgets, Caching, and Routing
51 min
4 Designing the AI User Experience: Trust, Feedback, and Graceful Failure
50 min
1 RAG Architecture for a SaaS Product
51 min
2 Building the Ingestion and Retrieval Pipeline
51 min
3 Multi-Tenant RAG: Isolating Customer Data
51 min
1 Authentication with Auth.js and Clerk
50 min
2 Multi-Tenancy Patterns and Data Isolation
51 min
3 Authorization, Roles, and Row-Level Security
51 min
1 Stripe Subscriptions: Products, Prices, and Checkout
50 min
2 Webhooks and Keeping Your Database in Sync
51 min
3 Usage-Based Billing and Metering AI Consumption
50 min
1 Rate Limiting Strategies and Implementation
50 min
2 Abuse, Fraud, and Prompt-Injection Defense
51 min
3 Quotas, Fair Use, and Protecting the Free Tier
50 min
1 Logging, Tracing, and LLM Observability
51 min
2 Evals: Measuring Quality in Production
52 min
3 Incident Response and On-Call for AI Features
50 min
4 SaaS Metrics and Analytics: Measuring an AI Business
51 min
1 Deploying: Vercel, Containers, and Cloud
51 min
2 Security, Secrets, and Compliance
52 min
3 Minimal Go-to-Market and Scaling Costs
51 min
1 Final Assessment — From Idea to Paying Users
45 min
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