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Claude Code for Non-Coders (6 Hour Course)

Nate Herk | AI Automation Claude Code for Non-Coders (6 Hour Course) Otwórz w Hinto

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My playbook for growing a $1M AI agency: https://app.aiautomationsociety.ai/opaa-ads-optin My FREE resources: https://www.skool.com/ai-automation-society/about?el=claude-code-for-normal-people&hcategory=youtube-videos&utm_campaign=free-group My Tools💻 FREE MONTH voice to text: https://get.glaido.com/nate Code NATEHERK for 10% off VPS (annual plan): https://www.hostinger.com/vps/claude-code-hosting This is a complete beginner course on becoming AI native with Claude Code, no coding background required. I take you from your very first prompt all the way to building your own skills, sub-agents, a second brain, and automations that run on their own in the cloud. It's all real examples and step-by-step builds, so you can follow along and walk away with AI systems that actually do work for you. Feel free to skip around using the timestamps below to whatever piques your interest. Sponsorship Inquiries: 📧 nate@smoothmedia.co Connect with me: https://www.linkedin.com/in/nateherkelman/ https://x.com/nateherk https://www.instagram.com/nateherk/ TIMESTAMPS 0:00 Intro: From Beginner to AI Native 1:00 What Is Claude Code (Chat, Cowork, Code) 5:04 Models vs Context (The Core Analogy) 6:48 The 12 Mindset Shifts 14:52 Prompt Engineering vs Context Engineering 17:33 Taste, Iteration & Building Your Jarvis 24:20 One Passion, Many Branches 31:44 Installing Claude Code & Your First Prompts 34:09 Working With Local Files (Excel, HTML) 38:18 Prompt Engineering & Verifying the Output 43:25 Tokens & Choosing Your Model 48:10 Setting Up a Project (claude.md & settings.json) 1:00:06 Connecting Tools: API Keys & .env 1:09:59 Permission Modes, Scoped Keys & Privacy 1:20:31 Building Your AI Operating System 1:25:08 Connecting Google Workspace: CLIs vs MCPs 1:40:28 Skills Deep Dive 1:56:13 The Context Window & Session Handoff 2:03:17 Memory & Your Second Brain 2:11:35 Constraints, Metrics & Mapping Your Process 2:20:23 Sub-Agents Explained 2:31:41 Building a Sub-Agent: The Plan Roaster 2:43:46 When to Use Sub-Agents 2:47:27 Installing in the Terminal + Free Resources 2:53:11 Building & Cloning Websites 3:10:54 Deploying With GitHub & Vercel 3:18:58 The AI Systems Pyramid & Trusting the Output 3:36:15 Building a Second Brain 3:56:28 The 5 Levels of a Second Brain 4:13:43 Knowledge Graphs & the Grill-Me Skill 4:31:50 Sub-Agents vs Agent Teams 4:45:35 Scheduled Automations & Cloud Routines 5:03:03 Building a Research Automation 5:27:13 Token Management & Prompt Caching 5:58:20 Final Thoughts

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In this course, I'm going to take you from a complete beginner to someone who is AI native and can build automations, AI agents, literally anything that you can describe, you're going to be able to build by the end of this course.

These are the topics that I'm going to cover with you guys. So, feel free to skip around to whatever pies your interest, but I'm going to go through all of this in order, and I'm going to do real examples and

step-by-step builds throughout. So, don't want to waste any time. Let's just jump straight in. So, this whole course is basically assuming that you know nothing and that you don't have a technical background, which

if you guys don't know who I am, my name is Nate and I do not have a technical background. But, I've been able to do some pretty incredible things with AI in the past couple years. I've got multiple different businesses that are based on content,

education, certifications, events, consulting, and all of that is powered by a small team who is really, really good at using AI. The whole idea is that one person can do the work that it used to take teams.

And I felt that ROI myself. And if you guys haven't, by the end of this video, you will have a very clear path to feeling that ROI and having AI systems that help you do more and that will eventually become the baseline.

So, it's great to be getting ahead of this stuff. Okay, so first things first, what is Claude Code? Because I know the word code probably intimidates a lot of people. If you've never coded before, you don't have to code.

So, Anthropic, that's the company that is behind this ecosystem, right? Um, the cloud models, Claude Chat, that is probably what a lot of you guys are used to. So, there's basically these three products.

The first one is Claude chat and that is where you can talk to Claude in the web or wherever you want to do it on your phone and you just talk to that large language model the AI model and you get an answer.

So kind of like a a chatbot. Then we've got Cloud Co-work which is kind of like the next step up. Fun fact, Cloud Co-work the entire product was built using cloud code by a few engineers.

It would have taken the team weeks and weeks and much larger team but they were able to ship this in like a week with a few engineers. So very very cool. And cloud co-work is much more for kind of like

your knowledge workers, your managers. It's much more of a simple interface to do simple automations and stuff, but cloud code is just the most powerful. And the cool thing about cloud code is like I

said, you don't need to know how to code at all. And so I really don't ever use cloud co-work even though you could argue a lot of the stuff that I do in cloud code could be used in co-work.

code is just way more powerful and it's where I see the future as far as thinking about building your own agents and just having things that are a lot more agentic for you. So those are kind of the three products, but what's

cool about it is they're not that different to actually use. So if you learn one really well, you're going to be able to transfer those skills wherever you go. So don't feel like you're locking in by choosing one

of these products. That's why I choose the most powerful product. So if I open the Claude desktop app, what do we see right here? This is Claude chat.

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