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What the training covers

Sessions are shaped around what you need. Popular topics from the course:

• The AI tools that exist right now — what ChatGPT, Gemini, Claude, Perplexity and Grok are each good at, and which one actually suits the way you work.
• Prompts that get a usable answer — how to ask for exactly what you want, instead of a vague question that buries you in filler.
• Why AI “forgets” halfway through — the context window in plain terms, and when to start a fresh chat rather than fight it.
• Giving AI a persona and rules — tell it to answer as an accountant, a nurse, or a travel agent, and hold it to the limits you set.
• Understanding Deep Research — hand it one question, let it read for twenty minutes, and get back a written report with its sources listed.
• Catching made-up answers — why AI invents facts that sound convincing, and the habit of checking anything that matters.
• Paying for AI without overpaying — which subscription is worth it for you, and how to audit the ones you are already on.
• Privacy and AI memory — what it quietly remembers about you, what you should never type into it, and how to clear it out.
• Answers out of your own paperwork — hand it a contract, a bill, a spreadsheet, or a photo of a form, and ask plain questions about it.
• Making and fixing pictures — generate a flyer with readable text on it, take someone out of a photo, change the background or the weather.
• Letting AI do the clicking — agentic AI that opens websites, fills in forms, and works through a task while you get on with something else.
• Building a website or a small app — describe what you want in plain English, watch it get built, and keep changing it as you go.

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