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

Tokens, context windows, temperature, and why LLMs predict text — not retrieve facts · Beginner

Prompt engineering fundamentals

02

Role-setting, constraints, examples, output formatting, and the 5-part prompt structure · Beginner

Understanding AI agents

03

Tools, memory, planning loops, and when agents go wrong · Intermediate

RAG — Retrieval-Augmented Generation explained

04

How AI uses your documents without retraining on them · Intermediate

What is MCP and why it matters

05

Model Context Protocol: connecting AI to real tools and live data · Intermediate

Fine-tuning vs prompting vs RAG

06

When to use each approach, what it costs, and what problems each one solves · Intermediate

Multimodal AI: images, audio, and video

07

What today's models can see, hear, generate, and where they still fall short · Beginner

AI safety, hallucinations, and how to verify outputs

08

Why AI makes things up, how to catch it, and the 4-question pressure test · Beginner

Choosing the right model for the job

09

GPT-4o vs Claude vs Gemini vs open-source: a practical comparison for real tasks · Beginner · Track 2 · 12 lessons

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

What to store, what to skip, and how persistent memory changes the way you work · Beginner

ChatGPT Projects — organize your AI workspace

02

Create project contexts, upload documents, and control scope per project · Beginner

Deep Research: the complete playbook

03

Briefing strategies, source evaluation, output cleanup, and when to trust the results · Intermediate

Canvas for editing and long-form writing

04

Collaborative editing, tracked suggestions, and version control without leaving chat · Beginner

Custom GPTs: build your own AI assistant

05

Instructions, knowledge files, actions, and publishing for team use · Intermediate

Data analysis with Code Interpreter

06

Upload CSVs, run Python, create charts, and export results without writing code · Intermediate

Image generation with DALL-E 3

07

Prompt patterns for consistency, style control, and editing workflows · Beginner

Voice mode for hands-free AI work

08

Real-time voice, best use cases, and when to switch back to text · Beginner

Automating with ChatGPT and Zapier

09

No-code workflows that run while you're doing something else · Intermediate

Research to presentation pipeline

10

Deep Research → Canvas → DALL-E → Slides in one connected session · Advanced

ChatGPT for email and communication

11

Drafting, rewriting tone, summarizing threads, and building reusable templates · Beginner

Advanced prompt patterns for professionals

12

Chain-of-thought, self-critique, LLM Council, and structured output techniques · Advanced · Track 3 · 8 lessons

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

A practical comparison for professional developers who need to decide this week · Intermediate

Getting the most out of Cursor

02

Composer, rules files, codebase indexing, and writing a .cursorrules file that works · Intermediate

Claude Code for terminal-first development

03

Agentic coding, file editing, CLAUDE.md setup, and long-context code review · Intermediate

AI-assisted test writing

04

Generate unit tests, edge cases, and testing strategies with AI doing the heavy lifting · Intermediate

Code review with AI

05

Security, performance, readability — what to ask and when to trust the result · Advanced

Prototyping with Replit and AI

06

Zero-to-deployed in an afternoon, without a local environment or build tooling · Intermediate

Debugging with AI assistance

07

Error interpretation, fix proposals, and avoiding hallucinated solutions in code · Intermediate

Shipping habits for AI-assisted teams

08

PR reviews, commit messages, documentation, and quality gates with AI in the loop · Advanced · Track 4 · 10 lessons

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

Enabling features, permissions, and what it can actually do vs what's marketed · Beginner

AI in Word: drafting, rewriting, and summarizing

02

Copilot in Word for reports, memos, and long documents — with honest limitations · Beginner

Excel AI: formulas, analysis, and Copilot

03

From formula suggestions to natural-language data analysis without knowing Python · Beginner

Outlook AI: triage, drafting, and scheduling

04

Inbox summarization, smart replies, and meeting prep that works in under 5 minutes · Beginner

PowerPoint Copilot: from outline to deck

05

Auto-generating slides, designer AI, and speaker notes that don't sound like AI · Beginner

Teams AI: meeting summaries and follow-ups

06

Transcripts, action items, and live AI assistance that saves the post-meeting hour · Beginner

Gemini in Google Workspace

07

Docs, Sheets, Slides, Gmail, and Meet — what each Gemini feature actually does · Beginner

Claude for professional writing

08

Long documents, research memos, editing, tone adjustment, and the 200K context window · Intermediate

Building a personal AI workflow stack

09

Combine tools across platforms without paying for everything or creating chaos · Intermediate

AI for managers: delegation, reporting, and strategy

10

Use AI for 1:1s, status reports, decision documents, OKRs, and performance reviews · Intermediate