4 minutesUsing AI Wisely for School Success
State one rule of thumb for telling AI homework help apart from AI cheating.
BeginnerParenting & Education
Every AI Model Explained
Tina Huang. A calm 19-minute map of the major model families — OpenAI's GPT line, Anthropic's Claude, Google's Gemini, plus the open-source players — and which tier inside each family is worth your time. After the article tells you "pick one and stick with it for a month," this video tells you what the dropdown menu inside that one is actually offering. Honestly opinionated without being a hot take.
AI Expert note
Model names, rankings and default choices are especially unstable. Keep the beginner rule: choose a mainstream product that fits the job, then evaluate outputs on your own examples instead of trusting leaderboard claims.
What you should get from this
Understand the product and model-family landscape well enough to choose one starting tool and stop endlessly comparing tabs.
Watch or know first
Basic awareness that a chatbot product and the model selected inside it are different decisions.
Last reviewed: May 18, 2026
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Take it further
Hand-picked external courses that go deeper on this topic.
Coursera · DeepLearning.AIGenerative AI for Everyone
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."
Beginner~5 hours
Coursera · DeepLearning.AI + AWSGenerative AI with Large Language Models
Antje Barth · Shelbee Eigenbrode · Mike Chambers · Chris Fregly
When practitioners ask "what should I take if I'm serious about building with LLMs?", this is the answer. Mathematically honest without being a research paper; AWS-flavoured deployment chapters stay useful even if you'll never touch SageMaker.
Advanced~16 hours
Coursera · Google CloudIntroduction to Generative AI
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.
New to AI~1 hour