• views: 54
• date: 29 August 2026
• posted by: voska89

What you'll learn

⚡ Take an AI-generated or prototype codebase and harden it into a production-ready application
⚡ Configure the core infrastructure every real product needs: DNS, SSL/TLS, load balancing, CDN, and caching
⚡ Build automated CI/CD pipelines that test, build, and deploy your code safely on every commit
⚡ Containerize applications with Docker and deploy them to real cloud infrastructure
⚡ Set up monitoring, logging, and alerting so you know when things break before your users do
⚡ Apply a production readiness checklist to any project and confidently answer "is this actually ready to ship?"

Requirements

❗ You've built something with code before, even if AI wrote most of it. A side project, a prototype, a weekend hack. No formal engineering experience needed.
❗ Basic familiarity with the command line. If you can open a terminal and run a command, you're ready.
❗ A computer with an internet connection. No paid infrastructure is required to follow along.
❗ No DevOps, cloud, or infrastructure experience required. This course exists to teach you exactly that, from zero.

Description

This course contains the use of artificial intelligence.
You can build an app with AI in a weekend. Then real users show up, and running code turns out to be nowhere near working software. This course covers what happens in between: how state actually behaves, why your schema decisions matter, what breaks at your first traffic spike, how deploys go wrong, and the security holes AI generated code ships with.
38 modules from first principles to production, each built around decisions instead of theory: real postmortems from companies that learned the hard way, assignments you build yourself, and the defaults a principal engineer would pick. You'll trace a request through DNS, TLS, and load balancers so outages stop being mysteries.
Along the way you'll read the SQL your ORM writes, migrate a live schema without losing data, and know when a cache is saving you and when it is quietly lying. You'll wire up CI that blocks bad deploys, queues that survive restarts, payments that pass compliance, and AI features with real cost and latency budgets instead of vibes. There are modules on debugging as a discipline, on observability, and on shipping mobile through app store review. If you started coding last month with AI, everything is explained from first principles.
If you have shipped for years, the sharp edges and the defaults will still surprise you. Every module stands alone, and the course compounds if you take it in order.
Made for people who ship with AI and want their software to hold.

Who this course is for

⭐ Vibe coders and AI-assisted developers who can generate working code with Cursor, Claude, or Copilot but freeze when it's time to actually deploy it
⭐ Self-taught developers and bootcamp grads who can build features but have never touched DNS, SSL, CI/CD, or production infrastructure
⭐ Indie hackers and solo founders who need to ship and run their own product without hiring a DevOps engineer
⭐ Junior developers who want to close the gap between "my code works on my machine" and "my code runs reliably in production"
⭐ Product managers and technical founders who prototype with AI tools and want to understand what it really takes to go live
⭐ Experienced engineers who want a fast, structured recap of the full production stack, from DNS to monitoring, to fill gaps and sharpen fundamentals

Homepage

https://www.udemy.com/course/shipreal/?couponCode=KEEPLEARNING

   
   
   

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