4 minutesUsing AI Wisely for School Success
State one rule of thumb for telling AI homework help apart from AI cheating.
BeginnerParenting & Education
Is ChatGPT Plus Worth it? Here's My Updated Review for 2025
Ryan Doser. Ryan walks through every feature actually gated behind the $20 tier — usage caps, advanced voice mode, image and Sora limits, custom GPTs, the reasoning-model tier — and contrasts it with current free alternatives like Claude, Gemini, and Perplexity. The view count is on the lower side because the topic is narrow, but this is the cleanest current side-by-side that doesn't dissolve into hype, which is why we picked it over the louder "Plus changed my life" videos.
AI Expert note
Pricing, included models, caps and feature gates change often. Use this for the buying logic, then verify the current OpenAI plan page and your own usage limits before recommending a paid tier to a team.
What you should get from this
Decide whether a paid ChatGPT plan is useful for your current workload instead of buying the most impressive-sounding tier.
Watch or know first
Know which tasks you actually repeat: writing, research, files, voice, images, coding or automation.
Last reviewed: May 18, 2026
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Hand-picked external courses that go deeper on this topic.
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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."
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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.
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Coursera · Google CloudIntroduction to Generative AI
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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.
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