Claude Academy
The Official Learning Hub by Anthropic
What it does
Master the entire Claude stack—from basic prompting and AI fluency to building complex multi-agent workflows. Claude Academy brings self-paced courses, developer tutorials, and official certification paths into a single interactive learning environment. Start learning at academy.claude.com!
Free AI education from Anthropic. Learn how AI works, how to use it with intention, and how to get more from Claude, organized around the problems you actually face.
Learn to use AI safely, effectively, and with intention. Free courses, tutorials, and use cases from Anthropic’s education team. Your thinking partner for big ambitions: work through a problem, pressure-test a draft, or make sense of a dataset in conversation. Hand off work you can steer anywhere. Brief Claude on a task, step away, and come back to results you can trust. Build software with Claude. Plan, write, debug and ship wherever you code. For work that belongs to the team. Tag Claude in Slack, delegate in the open, and keep everyone in the loop. Build Claude into your products. Go from first call to production with the API, Claude Console, and MCP. Learn to collaborate with AI…from academy.claude.com
Pricing, as stated on its site
Free — Claude Academy offers free courses, tutorials, and certification paths. No pricing information found on the website.
checked September 2026 · prices change
Does the same job
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com


Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com