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Understand & Use AI 2026 — From Concepts to Your Own Automation
Hands-on AI literacy for non-technical professionals — from how modern AI really works to delegating real tasks to AI agents. Up to date for 2026.
What you'll learn
- Place the major AI providers and 2026 models in context
- Explain the shift from chatbots to agents — and tell realistic from hyped claims
- Explain ~25 core AI terms in your own words and spot hallucinations
- Delegate a real task to an AI agent (Claude Cowork) and check its work critically
- Understand how modern software is built — and build a first project transparently with Claude Code, git and GitHub
- Build a personal automation plan and know the limits — privacy, cost, reliability
Curriculum
Where AI Stands in 2026
- From Chatbots to AgentsPreview10 min
- The 2026 Model Landscape10 min
- Reality vs. Hype12 min
- EU AI Act: Article 410 min
- Checkpoint: Where AI Stands5 min
The Language of AI
- How an LLM Really Works10 min
- Hunting Hallucinations11 min
- Prompting Fundamentals12 min
- The Vocabulary That Matters14 min
- Checkpoint: The Language of AI5 min
Hands-on Agents: Claude Cowork
- Setup & Permissions12 min
- Exercise: Tame a Messy Folder12 min
- Exercise: Notes into a Document14 min
- Exercise: Schedule & Review12 min
- Challenge: The Expense Report25 min
- Challenge: The Research Dossier25 min
- Checkpoint: Hands-on Agents5 min
Building with AI: Claude Code
- How Software Is BuiltPreview12 min
- Version Control & GitHub12 min
- Claude Code: Your Onboarding12 min
- Working Transparently with Claude Code13 min
- Challenge: Your First Project40 min
- Checkpoint: Building with AI6 min
From Experiment to Everyday Work
- The Ecosystem & Where It's Going10 min
- Privacy, Cost & Compliance11 min
- Your Automation Portfolio14 min
- Final Checkpoint & Certificate8 min