Join the new AI Agents Vibe Coding Course from Google and Kaggle
Summary (EN)
Google and Kaggle announced the return of their five-day AI Agents Intensive Course, scheduled for June 15 to 19, with registration opening immediately. The course is free and is framed as a practical training program for building production-ready AI agents, especially through what the post calls “vibe coding” workflows, where natural language becomes a primary programming interface. Google says the earlier edition reached more than 1.5 million learners and that the new run includes updated content, new speakers, and a capstone project. The curriculum is described as moving from foundational concepts to robust agent systems, with daily sessions combining conceptual explanation and hands-on examples. Participants are expected to learn how to connect tools and APIs, build more capable agent systems, and deliver a final capstone implementation. While the item is not a model release, it is still notable because it reflects how major platforms are trying to operationalize agent-building skills at scale. The commercial relevance lies in workforce enablement: enterprises and independent developers increasingly need staff who can move from prompt experimentation to reliable tool-using systems. By promoting a structured, no-cost course around natural-language programming and agent integration, Google and Kaggle are effectively expanding the labor pool for application-layer AI development. The announcement also shows how “agent” terminology is becoming mainstream enough to support large-scale public training programs, suggesting that vendor strategy is shifting from simply shipping models to shaping developer habits, workflows, and expectations around practical deployment.
Summary (ZH)
Google 与 Kaggle 宣布，其为期五天的 AI Agents Intensive Course 将再次举办，时间定于 6 月 15 日至 19 日，并已正式开放报名。该课程免费，定位为面向生产级 AI 智能体构建的实践训练项目，尤其强调文中所称的“vibe coding”工作流，即把自然语言作为主要编程接口来使用。Google 表示，上一期课程曾吸引超过 150 万学习者，本次回归版本加入了更新内容、新讲者以及一个最终综合项目。课程设计被描述为从基础概念一路深入到可落地的智能体系统，每天都会结合概念讲解与动手示例，内容覆盖如何连接工具与 API、构建更强大的智能体系统，并最终完成一个 capstone 项目。虽然这不是新模型或新产品发布，但它仍然值得关注，因为它反映出大型平台正在系统性地扩大“构建智能体”的技能供给。其商业意义在于人才与劳动力层面的准备。无论企业团队还是独立开发者，当前越来越需要能够从提示词试验走向稳定工具调用系统的人。Google 和 Kaggle 以零门槛、公开化课程形式推广自然语言编程和 agent 集成，实际上是在扩展应用层 AI 开发的人才池。这也说明，“agent” 已经从技术圈内部术语，逐步进入足以支撑大规模公共培训项目的主流概念，平台竞争正在从单纯发布模型，转向影响开发者工作习惯、部署路径和应用预期。
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