learn
Organized tracks for real AI fluency
Four structured paths from AI basics to professional workflows. Complete lessons in any order, at your own pace. New to AI? Start here
Your first 5 days with Claude
30–45 minutes a day. One focus per day. By Friday you'll be more effective with AI than most people on your team. Create a free Claude account and set Custom Instructions Go to claude.ai, sign up, then go to Settings → Custom Instructions. Paste your job title, company, and what you use AI for. Claude applies this to every conversation. Send your first structured prompt Use this format: You are [role]. I need [task]. Context: [details]. Respond in [format]. — adding a role and format alone dramatically improves output quality. Paste your real work — not test prompts Give Claude an actual email to rewrite, a document to summarize, or a decision to think through. Generic tests produce generic impressions. Real work shows you what AI actually does for you. Create a Project for your main work context In Claude, click Projects → New Project. Name it for your role. Paste your team background, recurring tasks, and tone preferences. Every conversation in this project starts already informed. Ask Claude to critique its own answer After any response, send: "What's the weakest part of that answer and how would you improve it?" This single habit eliminates most disappointing AI outputs and trains you to see what better prompts look like.
AI Foundations
Everything you need to understand how modern AI works — before you build with it. Knowing why AI behaves the way it does makes you dramatically better at using it.
How Large Language Models actually work
01
Prompt engineering fundamentals
02
Understanding AI agents
03
RAG — Retrieval-Augmented Generation explained
04
What is MCP and why it matters
05
Fine-tuning vs prompting vs RAG
06
Multimodal AI: images, audio, and video
07
AI safety, hallucinations, and how to verify outputs
08
Choosing the right model for the job
09
ChatGPT Mastery
Most ChatGPT users only use basic chat. This track covers memory, Projects, Custom GPTs, Deep Research, Code Interpreter, voice mode, and automation — the features that actually save hours.
Setting up ChatGPT Memory and Custom Instructions
01
ChatGPT Projects — organize your AI workspace
02
Deep Research: the complete playbook
03
Canvas for editing and long-form writing
04
Custom GPTs: build your own AI assistant
05
Data analysis with Code Interpreter
06
Image generation with DALL-E 3
07
Voice mode for hands-free AI work
08
Automating with ChatGPT and Zapier
09
Research to presentation pipeline
10
ChatGPT for email and communication
11
Advanced prompt patterns for professionals
12
AI Coding
Ship faster with AI-assisted development — the tools, habits, and workflow patterns that actually work in production.
Cursor vs Windsurf vs GitHub Copilot: pick your tool
01
Getting the most out of Cursor
02
Claude Code for terminal-first development
03
AI-assisted test writing
04
Code review with AI
05
Prototyping with Replit and AI
06
Debugging with AI assistance
07
Shipping habits for AI-assisted teams
08
Workplace Copilots
The AI tools already built into your work apps. Most companies are paying for Copilot or Gemini and most employees have never touched it. This track fixes that.
Microsoft 365 Copilot: the practical setup
01
AI in Word: drafting, rewriting, and summarizing
02
Excel AI: formulas, analysis, and Copilot
03
Outlook AI: triage, drafting, and scheduling
04
PowerPoint Copilot: from outline to deck
05
Teams AI: meeting summaries and follow-ups
06
Gemini in Google Workspace
07
Claude for professional writing
08
Building a personal AI workflow stack
09
AI for managers: delegation, reporting, and strategy
10