Claude Code Interactive LMS (Dummy Simulator)

If you’ve ever thought, “AI tools are for coders, not for me,” this is exactly where you start.

Claude Code is powerful because it doesn’t just “answer” like a chatbot—it can work inside folders, create files, edit documents, and run commands. That power also makes beginners nervous: What if I break something? What if I don’t know what to type?

That’s why I created a Claude Code Interactive LMS (Dummy Simulator): a safe, beginner-friendly, interactive training page that teaches students and professionals in India how to “run Claude Code” step-by-step—without touching real files.

This post explains what it is, why it works, and how to use it in classrooms, colleges, and corporate training.

Why Claude Code feels hard for non-coders (and how we fix it)

Most training fails because beginners are thrown into a real terminal with zero confidence.

Non-coders struggle with:

• Terminal fear (“I’ll mess up my laptop”)

• Command overload (too many steps, too fast)

• No verification habit (trusting output without checking)

• Permission confusion (clicking “Allow” without understanding)

The solution is not “teach coding.”The solution is to teach a repeatable habit:

Explore → Plan → Execute → Verify

That’s what this LMS trains.

What is the Claude Code Interactive LMS (Dummy Simulator)?

It’s a single HTML page (no backend needed) that behaves like a mini-learning platform.

It includes:

• A dummy terminal simulator (safe, no real file access)

• A step-by-step module flow (4 modules)

• XP, levels, badges (gamified motivation)

• A prompt practice area using a non-coder framework (G-I-V-E)

• An Auto Demo button for trainers (2-minute guided run)

• Built-in safety blocking for risky commands (like rm -rf /)

So learners can practice the exact style of interaction they’ll use in real Claude Code—without fear.

Who this is for (India edition)

This training is designed for:

• College students (BBA, MBA, BTech, BA, BCom)

• Freshers learning “AI productivity skills”

• Working professionals in:

  • HR

  • Sales

  • Operations

  • Admin

  • Marketing

  • Founders / small business teams

• Trainers who want a structured live session

It’s India-friendly in tone and examples—simple language, practical tasks, business use cases.

How the LMS is structured (4 modules)

Module 1: Start Safe (Folder Basics)

Learners run:

• mkdir claude-practice

• cd claude-practice

• ls

Outcome: They understand a “practice folder” concept and stop fearing the terminal.

Module 2: “Run Claude” (Dummy)

Learners run:

• claude

• /help

• claude --permission-mode plan -p "Analyze this folder"

Outcome: They understand that Claude Code is not “magic,” it’s a workflow tool with safe modes.

Module 3: First Deliverable (README)

Learners run:

• claude -p "Create README.md with goals + checklist"

• ls

• cat README.md

Outcome: They create something real (a deliverable) and learn the habit: create → verify.

Module 4: Permissions + Guardrails

Learners run:

• /permissions

• claude doctor

• /sandbox

Outcome: They learn safety: allowlists, health checks, and sandboxing.

The most important skill: Verification (most people skip it)

The biggest professional upgrade is not “AI knowledge.”It’s verification discipline.

In this LMS, every module forces learners to confirm:

• “What files got created?”

• “Where is the output saved?”

• “What changed?”

• “How can I check it in 2 minutes?”

This is exactly how strong teams use AI safely.

The prompt framework that works for non-coders: G-I-V-E

Instead of teaching “prompt engineering,” the LMS teaches a simple format:

G — Goal: What do you want?I — Inputs: Which files/data?V — Validation: How will we verify?E — Environment: Constraints (Windows/WSL, no internet, etc.)

Example (professional SOP prompt):

GOAL: Create an SOP for Vendor Escalation WorkflowINPUTS: Save as sop/vendor-escalation.mdVALIDATION: After saving, show file list + preview first 20 lines + 2-minute checklistENVIRONMENT: Non-coder audience, simple English, ask permission before changes

The LMS scores the prompt and gives improvement tips.

How to use this in a live training (Trainer playbook)

A) 60-minute classroom version

1. 5 min: What is Claude Code + safety rules

2. 10 min: Module 1 live

3. 15 min: Module 2 live

4. 20 min: Module 3 (README deliverable)

5. 10 min: Prompt scoring + Q&A

B) 2-hour corporate workshop version

1. 10 min: AI + Claude Code overview

2. 15 min: Module 1 + Module 2

3. 35 min: Module 3 + prompt practice

4. 20 min: Module 4 + policy talk

5. 30 min: A real business lab (SOP / report / email templates)

Trainer tip

Use the Auto Demo button once.Then make learners repeat it manually.

That’s how confidence is built.

After the dummy LMS: moving learners to real Claude Code

Once learners complete all 4 modules in the simulator, you move them to real Claude Code like this:

1. Create a real folder: claude-practice

2. Start Claude Code inside it: claude

3. Use Plan Mode for analysis:claude --permission-mode plan -p "Analyze this folder"

4. Create a deliverable file: README/SOP/template

5. Verify using:

   • ls

   • cat filename

This transition is smooth because the simulator already trained the same habit.

What deliverables learners can build in Week 1 (non-coders)

Students:

• Study plans

• Flashcards + quizzes from notes

• Resume + interview Q&A

• Presentation outlines

Professionals:

• SOPs

• Email templates (follow-ups, escalation, closure)

• Weekly report templates

• Meeting minutes + action items

• Simple policy documents (AI usage policy, data safety checklist)

Common mistakes (and what the LMS prevents)

Mistake 1: Running Claude in a sensitive folder✅ LMS teaches “practice folder only”

Mistake 2: Auto-accepting permissions blindly✅ LMS teaches /permissions and /sandbox

Mistake 3: No verification✅ LMS forces verification steps in every module

Mistake 4: Weak prompts (“make SOP”)✅ LMS teaches G-I-V-E prompt structure and scores it

Final takeaway: this is not a coding course

This is a work habit course.

If your learners can:

• create a folder,

• run Claude,

• ask it for one deliverable,

• and verify outputs safely,

they are already ahead of 90% of people “trying AI.”

Confidence comes from safe repetition.This interactive LMS makes that repetition easy.