39 minutesChatGPT Tutorial: 35 Tips I Wish I Knew Sooner
Get oriented inside ChatGPT without treating every new sidebar item as something you must master on day one.
Stanford Online. Andrew Ng, one of the people who actually built the field, talking plainly about what AI is good at, what it isn't, and where the realistic opportunities sit. A useful counterweight to social-media takes — same calm, no-hype tone as the article, just with more depth on the "where is this actually going" question.
A 2023 talk, so treat the example applications as a snapshot; the calm what-AI-is-good-at framing is the part that holds up and the reason it stays.
You leave with a realistic sense of what AI is good at today, where it falls short, and which opportunities are worth taking seriously.
None — watchable cold, though it lands better after the primary pick's eight-minute mental model.
Last reviewed: May 18, 2026
Continue through the same learning path with the next curated companion videos.
39 minutesGet oriented inside ChatGPT without treating every new sidebar item as something you must master on day one.
14 minutesChoose a few low-risk everyday AI tasks and test prompts by comparing the result to your own judgment.
15 minutesDecide whether a paid ChatGPT plan is useful for your current workload instead of buying the most impressive-sounding tier.
Hand-picked external courses that go deeper on this topic.
Google Cloud
Google's own answer to 'what is generative AI, actually' — the non-technical counterpart to Elements of AI, aimed explicitly at sales, HR, marketing, and operations roles rather than engineers. Forty-five minutes to a real mental model of how generative AI differs from classic machine learning, with no code and no jargon.
Andrew Ng
Real time inside an LLM, learning to prompt deliberately and recognise where generative AI is genuinely useful versus where it's a trap. Calm, no-hype teaching — the perfect bridge from "I've tried ChatGPT once" to "I use it every day with confidence."