DigestAI news desk

Cut through the AI noise.

Agents & Tools2 min read

Anthropic releases free crash course on building AI agents with Opus 5.5

Anthropic has released a free, one‑hour crash course that teaches developers how to build AI agents using Claude Opus 5.5. The video, published in mid‑October 2026, is split into four timestamped segments—intro, agent architecture, skill‑building, and dreaming/orchestration—allowing viewers to jump to the parts they need.

1 source

Key points

  • Anthropic offers free one‑hour crash course on building agents with Claude Opus 5.5.
  • Opus 5.5 costs about $4 per million tokens, 40% cheaper than Opus 5.
  • Model shows 85% reduction in risky boundary circumvention during audits.

Opus 5.5, launched on September 22 2026, offers cost efficiency, running at roughly $4 per million tokens versus $20 for its predecessor Opus 5, a 40 % lower cost on typical workloads. In safety audits the model showed an 85 % reduction in risky boundary circumvention attempts compared with earlier versions.

The course is part of Anthropic’s Academy, which hosts 13‑27 free courses in 2026, and is aimed at encouraging developers to adopt Claude for agent workloads, where per‑call savings compound.

Model page: Claude Opus 5.5 →

Full story from cryptobriefing.com · by Diego Almada Lopez · via Search: AnthropicOpen source ↗

Anthropic releases free one-hour crash course on building AI agents with Opus 5.5

cryptobriefing.com · 13 October 2026

Loading the full article…

This text was published by cryptobriefing.com and written by Diego Almada Lopez. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

Topics · follow one to build your own front page

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

Comments

via GitHub Discussions

More in Agents & Tools

All →

Related stories