
Linked in the resources is the FULL course PDF containing supporting information and links for each module.
For Windows users only, please skip to the next lecture if you're on Apple OS / Mac.
This lesson contains the installation commands we'll run through in this video, so that you can just copy/paste them instead of typing.
You can also download them as PDF file from the resources in this lecture.
These are all installed in our global VS Code folder (we'll come to what that means later).
Run these in order and if you hit any roadblocks, raise a question in the forum and we'll get back to you ASAP! Thank you.
These instructions are designed for someone who's never opened Visual Studio Code (VS Code) before. If you have used it already, when you try to re-install the packages it may just give you a message that they've already been installed!
For Mac users only, please go back to the previous lecture if you're on Windows.
This lesson contains the installation commands we'll run through in this video lesson, so that you can just copy/paste them instead of typing.
You can also download them as PDF file from the resources in this lecture.
These are all installed in our global VS Code folder (we'll come to what that means later).
Run these in order and if you hit any roadblocks, raise a question in the forum and we'll get back to you ASAP! Thank you.
These instructions are designed for someone who's never opened Visual Studio Code (VS Code) before. If you have used it already, when you try to re-install the packages it may just give you a message that they've already been installed!
Download the supporting information PDF (the CLAUDE.md framework) in the Resources section (this is also contained in the FULL COURSE RESOURCES PDF).
Download the supporting information PDF in the Resources section, including the full prompt.
Download the supporting information PDF in the Resources section, including the full prompt.
Download the supporting information PDF in the Resources section.
For the upcoming lectures we will create some files and setup. If you'd rather just open the files that have already been created - download the folder (claude-code-demo.zip) and open the folder inside VS Code - this includes everything we run through in the next modules.
Each lecture has it's own PDF resource attached to the lecture, or just download the FULL COURSE RESOURCES PDF for the full resources.
Download the supporting information PDF in the Resources section.
Download the supporting information PDFs in the Resources section.
Download the supporting information PDF in the Resources section.
Download the supporting information PDF in the Resources section.
Download the supporting information PDF in the Resources section.
Download the supporting information PDF in the Resources section.
Download the supporting information PDF in the Resources section.
Download the supporting information PDF in the Resources section.
A Quick Note on upcoming n8n lectures:
We're about to start talking about n8n concepts, all of these lectures are optional. If you would like to take this course extension then I recommend running through SECTION 9: AI Automation & n8n Mastery (OPTIONAL) of the course to learn the n8n fundamentals, and then revisit Lecture 32 which talks through the concepts.
N8N lectures are optional — we use it here because we believe it's a powerful combination with Claude Code. If you are not interested with N8N, no worries! You can simply ask Claude Code to build this part of the workflow (the LinkedIn carousel generation) entirely in code. You can even paste in our n8n workflow and ask Claude Code to analyze exactly what it's doing and replicate that logic programmatically. On the other hand, if you do want to use n8n, we've included a pre-made workflow that you can import and start using right away.
A Quick Note on upcoming n8n lectures: N8N lectures are optional — we use it here because we believe it's a powerful combination with Claude Code. If you are not interested with N8N, no worries! You can simply ask Claude Code to build this part of the workflow (the LinkedIn carousel generation) entirely in code. You can even paste in our n8n workflow and ask Claude Code to analyze exactly what it's doing and replicate that logic programmatically. On the other hand, if you do want to use n8n, we've included a pre-made workflow that you can import and start using right away (attached to this lecture).
Master Claude Code & Modern AI Coding — From Foundations to Real-World Implementation
This course teaches you how to use Claude Code properly inside real projects.
Not just prompting.
Not generic theory.
Not shallow tutorials.
You will learn how to:
Work with Claude Code inside real codebases
Build structured AI-assisted workflows
Design and ship practical AI-driven applications
Move from prompting → production-ready execution
No prior experience with AI is required.
You’ll start from the foundations and progress step by step into real implementation.
What Makes This Course Different?
Most AI courses focus on:
Writing prompts
Talking about AI concepts
Surface-level automation demos
This course focuses on:
AI Coding inside real workflows.
You’ll understand how Claude Code operates across files, tasks, and structured development flows — and how to control it confidently.
What You’ll Build
This is not theory-heavy.
You will:
Build AI-assisted software projects
Refactor and improve structured codebases
Create workflow-driven implementations
Develop a full capstone system from scratch
By the end, you won’t just “know about” Claude Code.
You’ll be able to use it confidently inside practical development environments.
Who This Is For
Beginners who want a structured entry into AI Coding
Developers who want to move beyond prompting
Technical professionals who want to increase output with AI
Builders who want to understand modern Vibe Coding properly
What You’ll Get
Step-by-step structured curriculum
Practical projects and guided implementation
Lifetime access
Downloadable resources
30-day money-back guarantee
The Real Outcome
AI is lowering the barrier to building.
The differentiator is no longer “Can you code?”
It’s:
Can you direct AI inside real workflows?
That’s the skill this course develops.
See you inside the course.