AI Enabled Builder
Transform from ChatGPT user to AI-Enabled Builder — someone who can build, ship, and maintain real projects with AI assistance.
INFO
- Time: ~18-22 hours (Core + Flagship)
- Difficulty: Beginner → Intermediate
- Prerequisites: None
- Tools: Browser, AI account, VS Code
Who This Is For
This course is for smart, high-potential individuals who:
- Use ChatGPT but want to build things with AI
- Have no coding background (and that's okay)
- Want to bridge the gap between "idea person" and "technical person"
What You'll Become: An AI-Enabled Builder
An AI-Enabled Builder can:
- Build: Create functional websites, tools, and automations using AI assistance
- Ship: Deploy projects to the real internet with confidence
- Maintain: Keep projects running and fix issues when they arise
- Decide: Know when to use AI, when not to, and which tool fits which problem
What You Can Confidently Say YES To
After this course:
- "I can build and deploy a website from scratch"
- "I can build a landing page / internal tool / simple app"
- "I can evaluate whether this AI tool is worth it"
- "I can debug basic issues without calling a developer"
What You Should Still Say NO To
This clarity is a feature, not a limitation. Knowing your boundaries makes you more valuable:
- Building complex, mission-critical production systems
- Security-sensitive applications (payments, health data)
- Performance-critical applications at scale
- Being the sole technical person at a startup (yet)
Why Learn the Technical Stuff?
You might be wondering: "If AI can write code for me, why do I need to learn about Git, hosting, and debugging?"
Here's the truth: AI makes building faster, but it doesn't eliminate the need to understand what you're building. The technical knowledge in this course isn't about memorizing syntax — it's about gaining independence.
Without technical understanding, you'll:
- Get stuck when AI-generated code doesn't work (and not know why)
- Be unable to deploy your projects to the real internet
- Have to pay developers for every small change
- Feel lost when something breaks
With technical understanding, you'll:
- Fix issues yourself instead of waiting for help
- Own your projects completely — they live on your servers, under your domain
- Iterate quickly because you understand how the pieces fit together
- Have real conversations with developers when you do need help
The payoff is real
Every module builds toward something tangible. By the end:
- You'll have a live website that you built, deployed, and control
- You'll understand what you built well enough to maintain and extend it
- You'll have skills that translate to future projects
Expect some friction
Modules 6-8 (Security, Git, Debugging) are challenging but rewarding. These foundational skills separate people who "play with AI" from people who ship real things. Each module builds skills you'll use constantly — stick with it, and the flagship project at the end ties everything together.
What You'll Learn
Core Modules (Required)
| Module | Topic | Time |
|---|---|---|
| 0 | Day 1 Quick Win | ~1-2 hours |
| 1 | How the Web Actually Works | ~45 minutes |
| 2 | Your Development Environment | ~60 minutes |
| 3 | Understanding AI Tools | ~45 minutes |
| 4 | Prompt Engineering & Working with AI | ~60 minutes |
| 5 | Essential Formats & Data | ~45 minutes |
| 6 | Security & Privacy Fundamentals | ~45 minutes |
| 7 | Version Control with Git | ~90 minutes |
| 8 | Debugging & Problem Solving | ~60 minutes |
| 9 | Deployment & Maintenance | ~90 minutes |
| 10 | Knowing When NOT To | ~30 minutes |
Flagship Project (Required)
| Project | Description | Time |
|---|---|---|
| Deploy Your Own Website | Build and ship a real website you own and control | ~4-6 hours |
What You Can Do After
After completing the Core Modules and Flagship Project, you'll be able to:
- Build functional websites and web apps with AI assistance
- Deploy projects to the real internet with custom domains
- Use version control to track and manage your code
- Debug issues using browser tools and AI help
- Read and work with APIs, JSON, and common web formats
- Make informed decisions about when to use (or not use) AI
- Maintain shipped projects responsibly
Level 2: Specializations (Optional)
Once you've completed the Flagship Project, choose a specialization based on your interests:
| Specialization | Best For | Time |
|---|---|---|
| 1: Knowledge System | Heavy note-takers, knowledge managers | ~4-6 hours |
| 2: MCP Integration | Power users wanting AI to work with their data | ~4-6 hours |
| 3: Browser Automation | Those with repetitive web tasks | ~4-6 hours |
| Claude Code Workflows | Terminal-comfortable users wanting maximum AI power | ~4-6 hours |
Additional Resources
| Resource | Description |
|---|---|
| Resources & Community | Where to get help, costs, and community links |
| Glossary | Plain English definitions for technical terms |
| Post-Course Growth | What to learn next after completing the course |