I want to sit with that for a second, because it is one of the strangest things happening in tech right now and almost nobody is saying it out loud.
The average coding bootcamp in 2025 cost $14,142 across more than 600 programs, with some running past thirty thousand dollars. Meanwhile, the exact curriculum that turns a curious person into a hireable AI engineer is sitting on YouTube and a handful of free course pages, fully public, taught by the people who literally built this field.
I have worked through pieces of this stack myself. Not the polished marketing version. The real thing, with the broken notebooks and the moments where you stare at a loss curve and have no idea why it will not go down. It works. And the job on the other side is real money.
First, the money, because that is why you are here
The demand side is not subtle. LinkedIn ranked AI Engineer the number one fastest growing job in the US for 2026, with postings up 143 percent year over year.
Here is the part that should make you put down whatever you are holding. PwC analyzed close to a billion job ads and found that roles asking for AI skills pay a 56 percent premium over the same role without them. That premium was 25 percent the year before. It is not flattening. It is widening.
The world has a shortage of people who can do this, the pay reflects the shortage, and the training to fix the shortage is free. That is the whole setup. Now here is the ladder.
The ladder has four rungs
Everyone wants to skip to the top. Do not. The reason most people fail at this is not intelligence. It is starting on the wrong rung and drowning. Tap each rung to open it.
You cannot build with a thing you cannot describe. The first rung is pure literacy. Just a working mental model of what these systems are, what they do, and where they fall on their face.
- →AI for Everyone · Andrew Ng · ~7 hrs · 2.5M+ learners
- →Google AI Essentials · Google · under 10 hrs · certificate
- →Anthropic AI Fluency · Anthropic Academy · free cert for LinkedIn
Cleared when: you can explain a neural network to a smart friend, name three things AI is bad at, and write a prompt that works on the first try.
Now you write code. Build before you fully understand, because understanding arrives through the building, not before it.
- →Prompt Engineering for Developers · Ng + OpenAI's Isa Fulford · 1 hr
- →Hugging Face LLM Course · 12 free chapters · the machinery
- →fast.ai Practical Deep Learning · Jeremy Howard · no math gate
- →Karpathy: Neural Networks Zero to Hero · build a GPT from scratch, free on YouTube
Cleared when: you have fine tuned a model and deployed a working demo someone else can click on.
Building a demo and shipping a system are different sports. This is where you learn the unglamorous parts that actually pay: retrieval pipelines, fine tuning that holds up, agents that do not fall over.
- →Ed Donner: LLM Engineering · 8 weeks · 8 real apps · RAG, QLoRA, agents
- →The full course repo · free on GitHub · peek before you pay
- →DataCamp AI Engineering with LangChain · evals, tool use, LangGraph agents
Cleared when: you have shipped an autonomous agent and can talk about evaluation and monitoring without bluffing.
The rung almost nobody reaches, and the fact that you can reach it for free is the most absurd part of this whole story.
- ★Stanford CS336: Language Modeling from Scratch · build every piece · 19 lectures free
- →Stanford CS224N · natural language processing
- →Stanford CS236 · the models behind image and video tools
- →Berkeley CS285 + David Silver's RL series · reinforcement learning
Cleared when: you can read a fresh research paper, understand the architecture, and have an opinion about whether it will hold up.
The detail nobody is talking about
The learners now include the agents.
While you climb this ladder, look at who else is on it. Anthropic's catalog does not just teach you to use AI. It teaches you to build subagents and agent skills, software that goes off and does work on its own. Coursera now uses AI to translate and personalize its courses at a scale no human faculty could touch. The same agent patterns you learn in rung three are already being used to deliver the education in rung one.
Read that again. The people learning to build agents are being taught, in part, by agents. The tools are teaching the next generation to make better tools. That loop is the actual story here.
For the entire history of the internet, software was something humans made and humans used. That line is dissolving. The web is becoming a place where humans and agents both read, both write, both build. The skills on this ladder are not just a path to a job. They are a passport into the version of the internet that is actually coming.
So which rung are you on
Every reader falls into one of four spots. Find yours. Then take the next step today, not Monday.
You read about AI but have never built with it. Your move is rung one. Open AI for Everyone before you close this tab.
You can prompt well and want to make things that work. Your move is rung two. Watch Karpathy build a GPT from scratch.
You can build but want to get paid for production. Your move is rung three. Ten dollars and eight weeks stands between you and $200K.
You ship already and want the edge. Your move is rung four. CS336 is on YouTube right now. Press play.
Operators pick a rung and climb.
The bootcamps spent a decade convincing everyone this knowledge was worth fourteen thousand dollars and lived behind a paywall. That was true once. It is not true anymore. The toll booth is gone and most people have not noticed.
The gap that matters now is not money. It is not access. It is whether you start climbing.