20 modules, 71 lessons
Understand what AI actually is, how large language models work, and why AI doesn't 'think' the way most people assume.
Learn the essential terms and concepts every AI user needs to know — without the jargon overload.
Learn the structure of effective prompts. Role, context, constraints, and output format — the four components that turn vague requests into useful results.
Turn messy AI responses into structured, usable outputs. Tables, bullet points, specific formats — learn to get exactly what you need.
Move beyond single prompts. Learn to chain AI steps together into repeatable workflows that solve real problems.
Learn to use AI as a research accelerator — not a replacement. Summarization, synthesis, verification, and knowing when AI research is trustworthy.
Use AI to write faster without sounding like AI. Editing, rewriting, removing fluff, and maintaining your voice.
Build reusable prompt templates and systems that save hours every week. Stop writing the same prompts from scratch.
Know when to use a general LLM vs a specialized tool. Cut through the noise of 1,000 AI products and pick what actually matters.
Understand AI's failure modes and build habits that prevent costly mistakes. Hallucinations, overreliance, and the verification mindset.
Understand the legal, ethical, and privacy landscape surrounding AI tools. From copyright rulings and data policies to the EU AI Act and building your own AI use policy.
A warm, practical guide for anyone who has never used an AI tool. You will set up your first account, have real conversations, and start using AI for your actual work — all in your first week.
Master every feature of ChatGPT — from understanding the architecture to deploying advanced prompting techniques across legal, finance, marketing, operations, and sales.
Master every feature of Claude — from constitutional AI architecture to the Claude Code terminal agent.
Master Microsoft's AI ecosystem — from Copilot in Word, Excel, and PowerPoint to the new Cowork cross-app agent. Learn which features justify the cost, how to protect your data, and when Microsoft's tools beat standalone AI.
Explore Google's AI ecosystem from Gemini's multimodal capabilities to NotebookLM's research-grade document analysis. Learn how AI integrates into Gmail, Docs, Sheets, and Meet, and when Google's tools outperform the competition.
Master the three layers of AI-assisted development — from inline suggestions to autonomous coding agents. Whether you write code daily or never have, this module shows you how AI is transforming software creation.
Learn to use AI research tools that cite their sources — Perplexity for real-time web research, NotebookLM for your own documents, and Elicit for academic papers. Build a three-tool research stack that is faster and more reliable than Google alone.
Master AI image and video generation from the ground up. Learn how diffusion models work, craft effective prompts in DALL-E 3 and Midjourney, create commercially safe visuals with Adobe Firefly, and explore the cutting edge of AI video with Sora, Runway, and Kling.