7 entries
Keyword: amazon-bedrockLink:zapier.com
Zapier has introduced enterprise-grade governance capabilities to manage, monitor, and deploy AI workflows and autonomous agents across more than 9,000 applications.
From Video: The Top 10 Most Installed AI Agent Skills on GitHub Reviewed
Article:Anthropic
Anthropic has released Claude Opus 4.1, offering upgrades in agentic workflows, real-world coding, and reasoning at the same pricing as Opus 4.
Article:Anthropic
Anthropic's official pricing documentation outlines token rates across current Claude generations, prompt caching mechanics, and unified cloud marketplace billing structures.
From Video: Weekly AI Updates: GPT 5.6, Claude Sonnet 5, and Ornith
Article:Anthropic
Anthropic has launched Claude Opus 4.7, delivering major improvements in advanced software engineering, higher-resolution vision capabilities, and new automated cybersecurity safeguards.
From Video: Weekly AI Updates: Model Releases, Prompt Tricks, and Agent Architectures
Link:Hyperautomation Labs
Hyperautomation Labs has released a structured course map covering all 18 free courses on the Anthropic Academy platform. The resource details lesson counts, hours, quizzes, certification availability, and three curated learning tracks for beginners, developers, and builders.
From Video: Anthropic Academy: Breakdown and Learning Paths for 18 Free Claude Courses
Repository:aws/agent-toolkit-for-aws
The Agent Toolkit for AWS offers official MCP servers, skills, and plugins allowing AI coding agents like Claude Code, Codex, Cursor, and Kiro to build, deploy, and operate AWS applications.
2.5kstarsPython
From Video: Agent Plugins: New Open Standard for AI Agent Extensions
VideoVideo:Hyperautomation Labs
Hyperautomation Labs reviews the free training catalogue available on Anthropic Academy. Spanning 18 courses, over 300 lessons, and more than 25 hours of video, the platform covers Claude usage, Claude Code, API development, and the Model Context Protocol (MCP). The review categorises the content into tracks and suggests three distinct learning paths for beginners, developers, and product builders.
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