THE PROFESSOR GLITCH CURRICULUM
Beginner to expert.
Everything, in order.
Eight courses in one membership. Start at zero, end up running AI that does real work for your business. No coding background needed.
No coding background needed · Self-paced · 7-day money-back guarantee
EVERY PATH IS INCLUDED
One membership. Eight courses + AI Systems.
Follow the whole path, or jump to the one that fits your next project.
Foundations
Foundations
Intro
Introduction
AI Won’t Steal Your Job
Hype vs. Reality
Module 1 Large Language Models — The Brains
01. What AI Really Means
02. LLMs Explained ChatGPT, Claude, and the Rest
03. How Models Are Trained (Without Buzzword Soup)
04. Open Source vs. Closed Source
05. Prompt Engineering Stop Begging, Start Commanding
Module 2 Data — The Fuel
01. What Counts as Data
02. Data Types Without the Boring Lecture
03. JSON The Internet’s Common Language
04. Data Processing From Messy Inputs to Useful Signals
Module 3 APIs — The Plumbing
01. APIs How Apps Actually Talk
02. HTTP Requests The Basics You Keep Ignoring
Module 4 RAG & Vector Databases — Machine Memory
01. Retrieval-Augmented Generation Why Chatbots Suddenly Get Smart
02. Vector Databases Storage That Understands Meaning
03. Embeddings & Dimensions Explained Without Trauma
Module 5 Tokens & Context — The Limits
01. Tokenization How Models Slice Language
02. Context Windows Why Bots Forget Things Mid-Sentence
Module 6 From Chatbots to Agents — Doing Work, Not Just Talking
01. Beyond Q&A Bots That Act
02. Workflows vs. Agents Where Each Fits
03. Prompt Chaining - The Building Blocks of Smart Workflows
04. LLM Routing Concepts and Strategies
05. Parallel Thinking When AI Handles_Tasks Side by Side
06. Evaluator Optimizer
The Thinker's Mind
The Thinker's Mind
The Thinker's Mind
Episode 1 — Introduction & Why Most AI Projects Fail
Episode 2 — The Thinking Stack
Episode 2 — The Thinking Stack
Episode 3: Systems Before Intelligence
Episode 3: Systems Before Intelligence
Episode 4: Process Mapping
Episode 4: Process Mapping
Episode 5: Atomic Steps
Episode 5: Atomic Steps
Episode 6: When Automation Is a Bad Idea
Episode 6: When Automation Is a Bad Idea
Episode 7: What AI Is Actually Good At
Episode 7: What AI Is Actually Good At
Episode 8: What Agents Actually Are
Episode 8: What Agents Actually Are
Episode 9: Why Agents Fail
Episode 9: Why Agents Fail
Episode 10: How to Decide What to Build
Episode 10: How to Decide What to Build
The One-Person Company
The One-Person Company
Automation
Automation
Intro
n8n & Why Automations Matter
Trigger
Triggers (Wake Up Workflows)
Credentials
Connect your Gmail
Connect your Google sheet
Google Drive OAuth
Json & Data Type
Data Type
Expression
HTTP & API
Intro
HTTP & API
Wrap up
Core Node
Intro
If Node
Filter Node
Switch
Merge Node
Aggregator & Split out
Wrap up
Capstone Project
Intro
Part1 - Process Mapping
Part1 - Project
Part2 - Process Mapping
Part2 - Project
Hosting N8N
How to Self-Host n8n in the Cloud (Step-by-Step)
AI Automations
AI Automations
Intro
Introduction
AI Nodes
Basic LLM Chain
Information Extractor
Text Classfier
Question and Answer Chain
Sentiment Analysis
AI agent
Extras
Deep Dive - Workflows
Automating Data Entry with AI Extractors
Inbox Management AI system
Content AI system
Error Handling & Retry Patterns
AI Agents
AI Agent Fundamentals
Tools for AI Agents
Prompting AI Agents
Workflows as Tools
Executive AI Agent Assistant
RAG | Vector DB
RAG, Vector Databases & Embeddings Explained
RAG System (Vector Database)
Extract Metadata for RAG (Advanced)
RAG Search with Metadata (Advanced)
Multi-Agent Systems
Introduction
Email Sub agent
Calendar Sub agent
Contact Sub agent
Web search / Blog Sub agents
Human in the Loop & Evaluator
Introduction
System Walkthrough
Human in the Loop & Evaluator System
MCP
What is MCP, and why is it used?
Adding MCP for Agent
Vibe coding Mastery
Vibe coding Mastery
The Finish Line First
🎯 Your Future App Live Demo
💡 What is Vibe Coding?
🗺️ The 4-Phase Roadmap
The Blueprint
Your First Deploy
⚡ Installing Cursor + Walk through
🤖 Your First AI-Generated Page
Github + Vercel
MCP + Deployment
How Apps Work + Chatbot (The mental model + your first AI chatbot)
🏗️ The 3-Layer Architecture
🎨 Frontend Deep Dive
🔨 Build: The Chat Interface
🧠 Backend Deep Dive
🔨 Build: The AI Brain (API Route)
MEMORY & IDENTITY (User accounts + conversations that persist)
💾 Database Deep Dive
⚙️ Setting Up Supabase
🔨 Build: User Authentication
🔨 Build: Chat Memory & History
Going Live: Deploying to Vercel
📁 Understanding Your Folder Structure
DEBUGGING LIKE A PRO (Errors won't scare you anymore )
Why things break
The Error-to-Fix Loop
RAG ( Making It Smart)
😐 The Problem with Generic AI and How to solve it with Rag
📚 Your Knowledge Base — The Assets
🧬 Embeddings — How Meaning Becomes Searchable
⚙️ Setting Up Vector Storage
🔨 Build: Getting Your Transcripts
🔨 Build: Processing Your Transcripts
🔨 Build: Connecting Search to Chat and testing
Video & Timestamps (Show the exact moment in the video)
📋 Using Our Metadata
🎬 Building the Video Player & Going Live
Production Launch
Production Checklist
🛡️ Security Basics
🌐 Custom Domain (Optional)
🎓 What's Next — Your Graduation
Claude Code From Zero
Claude Code From Zero
The Landscape
Before Claude Code
The Loop
What Is Claude Code
The Setup
The Interface
The Briefing
CLAUDE.md
The Notepad
Memory
The Recipe Box
Skills
The Plugins
MCP
The Guardrails
Settings & Permissions
The Triggers
Hooks
Putting It All Together
Putting It All Together
Claude Code + n8n
Claude Code + N8N MCP
The Ads Competitor Pipeline
# Lesson 1 Intro — Setup & Tools
# Lesson 2 — Finding Competitors
# Lesson 3 — Scraping, Analyzing & Generating
# Lesson 4 — The Side-by-Side Site
# Lesson 5 — Making It a Skill
AI Command Center
AI Command Center
Start Here
How this course works
A note for Windows users
Foundation — How AI Agents Actually Work (The Harness)
Intro — The One Diagram
The Brain (the LLM)
The Context Window
Short-Term Memory
Long-Term Memory
RAG — Retrieval
Skills
The Loop
Tools & MCP
Hooks
Building the Memory System
Memory, Done Right
Evals — Grading the Run
The Full Circle
Make It Real
Now Let's Build
Section 1 — The Workforce Mindset
From tools to teams
Except the dip
Section 2 — Your Project, Your Way
The folder structure that scales
Writing CLAUDE.md and your context files
Quiz-1
Section 3 — Wiring Real Tools
Connection principles: APIs, MCP, and the modern decision rule
Email and calendar with Google Workspace
Your CRM
Stripe and revenue data
Section 3A — Wiring Real Tools
Image and Video generation
carousels
Branded templates
Section 3B — Wiring Real Tools
Video Editing with AI
Web scraping and AI Receptionist
Section 4 — Skills That Actually Work
Skill anatomy and the one-skill-one-job rule
Live build: one real skill, end to end
Composing skills with sub-agents
Installing community skills from the marketplace
Section 5 — Autonomy
The three-tier model: loop, desktop scheduled tasks, and routines
Loop: short-term recurring work in-session
Desktop scheduled tasks: daily routines while your laptop is open
Your first cloud routine
Graduated autonomy
Section 6 — Living In It
The daily and weekly rhythm
Token hygiene
Section 7 — Glitch Workspace
What Glitch is and how it's different
Install and Walkthrough Glitch workforce
Section 9 — Plugging Your Foundation Work Into Glitch
The translation table
Migrating an existing skills to a AI employee
Section 10 — Running the Office
The Command Deck day to day
Telegram setup
Build a second brain
Why Your Notes App Is Where Information Goes to Die
The Whole System, File by File
From Empty Folder to Working Brain
Live dashboards with Claude artifacts
Live dashboards with Claude artifacts
AI Video Production
AI Video Production
Watch the trailer: HALSTED Play
The production line
Your AI video team
What makes a video feel good
Set up your studio
Idea, script and characters
Voices
Pictures first
Pictures to video
The edit, music and sound
Color and finish
Edit your video
Claude builds the visuals
HALSTED, start to finish
AI Systems
AI Systems
System 1 · Your company's private ChatGPT
The computer and the models
The app your team uses, and its backups
Departments and who sees what
Reaching it, letting people in, and trying to break it
Running it day to day
Professor Glitch membership
$57/ month
USD monthly plan. Choose your billing plan at checkout.
7-day money-back guarantee
Cancel renewal anytime. Separate AI tools may have their own costs.
ALL EIGHT. ONE PRICE.
Every course.
Nothing held back.
One membership opens all eight courses on day one. Start wherever you are and go as far as you want.
- All 8 courses, from foundations to AI teams
- Step-by-step builds and project resources
- Templates and reusable workflows
- Community and technical support
- AI Systems: complete builds, starting with your company’s private ChatGPT
- Glitch Workforce included