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Claude Code From Beginner to Pro Agentic AI Engineer
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 7m | Size: 7.24 GB
Be the agentic AI engineer nobody can replace. Claude Code from zero to software you can put your name on and publish.
What you'll learn
Build and ship a real application from an empty folder to a live web address, with Claude Code doing the engineering, not autocomplete.
Write your own Claude Code skills, so a job you explain once runs the same way every time, for you or for anyone you hand it to.
Decide exactly what Claude is allowed to run, change and delete on your machine, using the 6 permission modes, before it touches anything.
Put the work on the internet with git, GitHub and Vercel, so what you built has a real address you can send to a client or a teammate.
Give a project a written memory file, so you stop re-briefing it every session and Claude picks up with the full context already loaded.
Read what a session is actually costing in tokens, pick the right model for the job, and stop a long session from drifting off the task.
Drive Claude Code with slash commands and the desktop app, so you are working in a window you can read instead of a wall of terminal output.
Debug what Claude gets wrong. Read the real error, feed back the useful part, and get a working result instead of a half-finished one.
Install and configure Claude Code on macOS, Windows or Linux, and get a first working session on whichever machine you actually use.
Test a skill after you write it, edit it when it gets something wrong, and install it so it is loaded in every project you open.
Know which advanced tools you can safely ignore for now, so you spend your time on the parts that pay you back first.
Requirements
A little comfort with the command line helps, enough to open a terminal and type what you are shown. You do not need to know what the commands mean, because those get explained as they arrive.
No programming language required. Nothing here assumes you write Python, JavaScript or anything else, and nothing assumes you have shipped software before.
A Mac, a Windows PC or a Linux machine, and an internet connection. The course installs everything else with you, step by step, on whichever one you have.
A Claude account. Section 2 shows you which plan fits the way you actually work, so you are not guessing or paying for more than you need.
Most of the scenarios in this course are developer scenarios, and that is deliberate. It comes from training developers on this tool and watching where they get stuck. If you are not one, nothing is gated behind it and every term is built up as it arrives.
Description
This course contains the use of artificial intelligence.
On paper, the years you spent learning to build software are worth less this year than they were last year.
Nobody had to show you a chart.
You are faster than you have ever been. You also feel more replaceable than you ever have.
- Some developers are calling that grief.
The pay has started moving in two directions to match. Senior developers took a pay cut last year, while jobs asking for AI skills grew about eight times faster than everything else.
And it is not your fault. Nobody ever handed you the other half of the job.
You opened the tool, typed a sentence, got back something half-finished, and concluded, reasonably, that the demo had left a lot out.
It had. What it left out is a handful of decisions, made quietly before the interesting part starts.
How those went decides whether the tool works beside you like a colleague, or the way it did on the day you tried it.
Learn them, and you stop being the person this is happening to.
WHAT YOU WILL ACTUALLY BUILD
Get those decisions right and you finish holding two things.
The first is an application living on the internet at its own address. You started from an empty folder, and you can send it to anyone.
- It proves you can carry an idea the whole way out into the world.
The second is a job you do every week, written down once, that now runs whether you are sitting there or not.
- That one proves something rarer. You can put work somewhere it keeps happening without you.
That second one is what people mean by agentic AI, which is a great deal less mysterious than it sounds.
Nobody holding both of those spends long wondering whether AI is coming for their job. They spend it being asked how they did it.
The people who get there quickest are rarely the ones you would expect.
WHO THIS IS WRITTEN FOR
They are usually the ones who already tried this once, came away sure they were using a tenth of it, and never found out what the rest was.
If any of this sounds like your week, it was written for you.
- You want work that runs on a written instruction, not a tool finishing your line of code.
- You watched an AI tool produce something broken and quietly decided it was not worth the trouble.
- You are careful about what runs on your own machine and want the controls explained before anything is turned on.
- You need something online and there is no developer to hand it to.
The scenarios here are developer scenarios, and that is deliberate. Every place this course slows down is a place people get stuck.
If you are not a developer, nothing is gated behind being one. Every term gets built up as it arrives.
There is one part nothing prepares you for, and it starts the moment something works.
WHAT MAKES THIS DIFFERENT
Most courses stop right there, at the moment the thing runs.
Getting it online, keeping it under control and keeping the cost sane are where people quietly drown, and each one gets its own stretch of this course.
You work from the terminal and from the desktop app, never inside a code editor you did not ask to learn.
And you learn what to ignore. Knowing which advanced-sounding things earn your attention first is worth more than carrying all of them at once.
Three things decide whether any of this survives contact with real work.
WHAT YOU WILL LEARN TO CONTROL
They are the three questions that make people nervous about turning this loose.
- What it may touch. You decide what it can run, change or delete, before it touches anything.
- What it costs. You watch what an afternoon is spending while the afternoon is still going.
- What it remembers. You sit down and it already knows the project, so you stop explaining it from the beginning every morning.
Underneath all three sits what you do when it gets something wrong, which decides whether this works at work or only at home.
WHERE YOU WILL BE AT THE END
You do not carry a certificate out of this.
You carry a link to something running, a file you wrote that does the job again tomorrow, and a real answer when somebody asks how you got that done so quickly.
And the next thing you build works the same way this one did, which is the part that keeps paying you back.
You need a machine, a Claude account subscription, and one real thing you want to exist.
Bring that last one, and by the end you will not be reading about how it could be built. You will be sending somebody the link.
Who this course is for
Developers who have heard about Claude Code, tried it for an afternoon, and want to know what using it properly actually looks like.
Engineers who want the agentic part rather than the autocomplete part, where work runs on a written instruction instead of on you sitting there driving it.
Anyone who has watched an AI coding tool produce something broken or half-finished and quietly decided it was not worth the trouble.
People who are careful about what runs on their own machine and want to understand the permission controls before they turn anything on.
Founders and solo builders who need a working product on the internet and do not have a developer to hand it to.
Anyone who has only ever used Claude or ChatGPT in a browser tab and wants to see the same thing reading and changing real files.
Someone who does one job all day, invoicing, reporting or scheduling, and wants to write that job down once so it runs the same way every time.
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