Every other day I see the same post: 👉 “Google, Harvard, and Microsoft are offering FREE AI courses.”
And every day I think: do we really need the 37th recycled list?
So instead of just pasting another one… I decided to “write” the ultimate prompt that anyone can use to make their own viral “Free AI Courses” post. 🧩
⚡ So… Here’s the Prompt (Copy -> Paste -> Flex):
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You are writing a LinkedIn post that intentionally acknowledges the recycled nature of “Free AI Courses” list posts, but still delivers a genuinely useful, ultimate free AI learning guide.
Tone: Self-aware, slightly humorous, but still authoritative. Heavy on a the emoji use.
Structure:
1. Hook — wink at the sameness of these posts.
2. Meta transition — admit you asked AI to cut through the noise.
3. Numbered list — 7–9 resources, each with:
• Course name + source
• What you’ll learn
• How to access it for free
4. Mix big names + under-the-radar gems.
5. Closing — light joke + “What did I miss?” CTA.
Addendum: Expand to as many free AI/ML courses as LinkedIn’s 3,000-character limit will allow, grouped into Foundations / Intermediate / Advanced / Ethics.
⸻
💡 Translation: I’m not just tossing you another recycled list. I’m giving you the playbook for making one that feels fresh, funny, and actually useful. That’s the real power of AI—forcing everyone here to raise their game.
So take it, run it, grab a few free courses—and know you didn’t need someone else’s output to do it for you.
💪 Build authority by sharing what you learn.
🧠 Use AI for the grunt work so you can focus on insight.
💸 Save time, look smart, maybe even go viral while you’re at it.
⸻
🚀 And because I know people want the output itself… here’s a starter pack:
1. CS50’s Intro to AI with Python (Harvard) – Hands-on projects covering search, optimization, and ML basics. Free via edX (audit mode). 👉 cs50.harvard.edu/ai
2. Elements of AI (Univ. of Helsinki) – Friendly intro to AI concepts, no code required. 👉 elementsofai.com
3. Google ML Crash Course – Quick, interactive ML basics with TensorFlow. 👉 https://lnkd.in/eNTdD9Fm
4. fast.ai Practical Deep Learning – Build deep learning models fast. 👉 course.fast.ai
5. DeepMind x UCL Reinforcement Learning – The classic lectures by David Silver. 👉 davidsilver.uk/teaching
Happy weekend everyone!
- 🌐 Official Site: walterreid.com – Walter Reid’s full archive and portfolio
- 📰 Substack: designedtobeunderstood.substack.com – long-form essays on AI and trust
- 🪶 Medium: @walterareid – cross-posted reflections and experiments
💬 Reddit Communities:
- r/AIPlaybook – Tactical frameworks & prompt design tools
- r/BeUnderstood – AI guidance & human-AI communication
- r/AdvancedLLM – CrewAI, LangChain, and agentic workflows
- r/PromptPlaybook – Advanced prompting & context control
- r/UnderstoodAI – Philosophical & practical AI alignment
