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AI Coding Crash Course
AI Coding Crash Course
Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With AI Coding Crash Course, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Released 8/2026
By Matt Pocock
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 70 Lessons ( 5h 20m ) | Size: 3.2 GB
Ship faster than ever before by taking control of your code, with software engineering fundamentals.
We've all seen how AI coding can go wrong: easier than ever to get started, but downhill from there.
Starting a new project feels like magic; but as you refine your ideas, fix bugs, or add features, your agent's bad code choices compound quickly and each change comes slower and worse.
Outsourcing small tasks feels powerful and even fun; but bigger, more complex, and longer running tasks spiral beyond your control.
Worst of all, the agent never gets tired but you're more exhausted than ever. A robot can pile up lines of code far faster than you can review, meaning you must spend more time accepting, supervising, instructing, and repeating yourself, with less time for satisfying, creative work.
Through it all, you can practically feel the control slipping away, one prompt at a time.
Maybe it's happened to you. Or maybe you haven't tried it yet because you're concerned it will happen to you.
Either way, this isn't the job you signed up for. There has to be a better way.
The good news is: there is a better way.
My brand new AI Coding Crash Course will put the control back in your hands — through learning, analyzing, and most importantly, building with a better understanding of how these tools work.
Matt Pocock is a true educator and I admire how he brings structure to this mess we are in.
Mario Zechner (@badlogicgames), creator of the Pi coding harness
The best way to get great results from your coding agent is to learn how it works, top to bottom
How does a large language model work?
How does the harness work — whether it's Claude Code, Codex, or any other flavor?
How do you combine that knowledge to build an effective, repeatable software engineering loop?
You'll be able to answer all these questions for yourself — through practical experience — by the end of this self-paced crash course.
Even if you've never used a coding agent before. Even if you've never written software before.
My approach to AI coding combines classic Real Engineering principles with a step-by-step process to deeply understand every aspect of the tools, techniques, and workflows. Together, you'll use that understanding and practice to maintain a high bar for quality and consistency.
Here are just some of the things you'll learn
Smart zone / dumb zone — what the context window is, why it matters, and how to recognise when an agent is still reasoning sharply and when its context has degraded — and how to keep your work in the smart zone.
Managing context — what's actually eating up the agent's context, why it fills up, how to keep it slim, and how to read its exact status instead of guessing.
Compaction vs. handoff — three ways to continue past a full context, when to use each, and why mid-task compaction goes wrong.
Grilling — how to recruit your agent to help you interrogate a fuzzy idea until the project
Requirements
are sharp and clear, before writing a single line of code.Codebase exploration — how to help your agent understand an existing codebase so it uses the code that exists instead of reinventing and repeating.
AGENTS.md — how to wield the instruction file that steers an agent's behaviour across a project, and what actually belongs in it.
Skills — how to create and deploy reusable instructions as patterns and packages that your agent can pull in on demand, and how to write your own from prompts and workflows that you repeat.
Progressive disclosure — structuring those instruction files so the agent loads only what it needs, keeping context lean.
Crystal clear
Requirements
— how to turn a grilling session into a clear spec the agent can build from, to deliver the results you actually want.Decomposing complex work into session-sized chunks — how to break down big projects into phases your agent can execute one at a time, and how (and when) to create a new session.
Handoffs — how to leave a breadcrumb trail for your agent, so you can both pick up exactly where you left off — whether it's the next hour, or next week.
Subagents — how to delegate exploration and other tasks to "child" sessions with fresh contexts, to keep your main session sharp — all without juggling multiple terminal windows.
Learn and practice ALL of these concepts and more. Marathon it all within a few days, or spread it out to fit your life's schedule or pace.
You'll start with the core concepts you need to know. You'll learn how to work with a harness (like the Claude Code command-line interface) like a pro.
You'll learn how to clearly specify work for your agent to execute — to be sure you're building the right thing — as well as how to enforce code quality standards so your codebase will be easy to expand in the future.
By the end, you'll be able to take on work that's too big for a single prompt, and stay in control of your codebase while you do it.
I recommend learning from Matt Pocock morning, noon and night. ZERO SLOP in my projects, my repos are clean.
Stéphane M
Get ready for hands-on learning
Together, you'll learn how to inspect the inner workings of your AI coding harness, which lets you truly understand exactly what's going on behind the scenes.
Once equipped with that understanding, you'll be guided through the full build process for several real features end-to-end. This practice cements everything you've learned through real experience.
In total, nearly 60 lessons broken down into 6 sections
Each lesson includes video instruction so you can follow along with me on screen
Each video lesson is accompanied by detailed written guides, step-by-step commands and prompts to try and adapt on your own, and quizzes to test your understanding
Everything lives in my custom learning environment, designed to help you keep track of your progress and know where to focus your efforts next.
I don't often buy courses, but @mattpocockuk's are a godsend. Even though I'm not a dev by training, I used what I learned to build a full Google Ads management system on top of Claude Code.
Alfred S.
Alfred S.
When you enroll, you get instant access to everything — and you get to keep it.
This Crash Course is completely self-paced, you can go as fast or slow as you like, and work on the material anytime and from anywhere you have an internet connection.
Whether you tackle the material over a long weekend (about 3 days), or spread it out to a couple of hours a day over the course of a week or so, I've designed this Crash Course to focus your learning experience on the essentials. Everything you need to take charge of your AI coding experience, with zero hype or distractions.
So if you've tried AI coding, but couldn't get past the uneven results or nasty surprises, this course will help you create a solid mental framework and a reliable, reusable process.
And if you've been thinking about trying out AI coding as a non-programmer, this course will show you how you can get started on the right foot, saving you from lots of expensive and painful mistakes. Plus, you'll learn how your coding agent can help you understand the code it's writing, and you'll have a better sense of how to ensure its answers are trustworthy.
Homepage
https://www.aihero.dev/workshops/ai-coding-crash-course
Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
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