Inside our 353,000-person vibe coding course

走进我们拥有 353,000 名学员的“氛围编程”课程

Over 353,000 developers recently joined our five-day intensive course to master building and deploying AI agents using natural language. Participants collaborated on Discord to debug code and submitted over 6,000 impressive capstone projects, ranging from historical transcription tools to space-weather research systems. You can still access all course materials on the Kaggle Learn website to sharpen your skills at your own pace. 最近，超过 353,000 名开发者参加了我们为期五天的强化课程，旨在掌握使用自然语言构建和部署 AI 智能体的技能。学员们在 Discord 上协作调试代码，并提交了超过 6,000 个令人印象深刻的结业项目，涵盖了从历史文献转录工具到空间天气研究系统等多个领域。你仍然可以在 Kaggle Learn 网站上访问所有课程材料，按照自己的节奏提升技能。

AI is moving faster than traditional methods of learning and teaching can keep up with it. With new concepts, skills, ideas, and tools arriving almost daily, we needed a new way to teach and learn these new technologies. Since Google and Kaggle’s first “5 Day Intensive” course in 2024, more than 2 million learners and developers have participated in the multimodal, no-cost courses. 人工智能的发展速度已经超过了传统教学方法所能跟上的节奏。随着新概念、新技能、新想法和新工具几乎每天都在涌现，我们需要一种学习和教授这些新技术的新方式。自 2024 年 Google 和 Kaggle 首次推出“5 天强化”课程以来，已有超过 200 万名学习者和开发者参与了这些多模态、免费的课程。

Our latest collaboration, the 5-Day AI Agents: Intensive Vibe Coding Course with Google, had over 353,000 registered participants. Together, we explored the frontier of vibe coding, where people program through natural language. Our courses navigated the entire lifecycle of designing, securing, and deploying production-grade AI agents in the cloud. The response proved that developers are ready to graduate their prototypes “from vibe to live”. 我们最新的合作项目——与 Google 联合举办的“5 天 AI 智能体：氛围编程强化课程”——拥有超过 353,000 名注册学员。我们共同探索了“氛围编程”（vibe coding）的前沿领域，即通过自然语言进行编程。我们的课程涵盖了在云端设计、保护和部署生产级 AI 智能体的全生命周期。学员们的积极响应证明，开发者们已经准备好将他们的原型从“氛围感”转化为“生产力”。

Hundreds of thousands of learners gathered across codelabs and technical whitepapers to collaborate in real time. The heart of this collaboration was on Kaggle’s Discord, where over 392,000 active participants swapped code, debugged together, and formed study groups. 成千上万的学习者汇聚在代码实验室（codelabs）和技术白皮书中进行实时协作。此次协作的核心阵地是 Kaggle 的 Discord 频道，超过 392,000 名活跃参与者在此交流代码、共同调试并组建了学习小组。

The capstone projects brought the week’s learning into action. We received over 6,000 project submissions from more than 12,000 active capstone participants. The projects demonstrated the immense creativity, technical skill, and imagination of the global AI developer community. From advanced digital humanities tools like the historical manuscript transcription pipeline Palimpsest, to sophisticated space-weather research systems like Project ARIES, the caliber of submissions made it incredibly difficult to narrow down the top entries. You can explore all the winning teams and their capstone projects on our website. 结业项目将这一周的学习成果付诸实践。我们收到了来自超过 12,000 名活跃结业项目参与者的 6,000 多份项目提交。这些项目展示了全球 AI 开发者社区巨大的创造力、技术水平和想象力。从诸如历史手稿转录流水线 Palimpsest 等先进的数字人文工具，到 Project ARIES 等复杂的空间天气研究系统，提交作品的高水准使得评选优胜者变得异常困难。你可以在我们的网站上查看所有获胜团队及其结业项目。

We look forward to continuing our partnership and exploring future learning opportunities. If you’re interested in learning more, you can continue honing your skills through ongoing Kaggle competitions and stay connected with fellow learners on the Kaggle Discord. For those who missed the live event in June but still want to learn, all course content remains available as a self-paced Kaggle Learn guide. 我们期待继续保持合作伙伴关系，并探索未来的学习机会。如果你有兴趣了解更多，可以通过持续进行的 Kaggle 竞赛磨练技能，并继续在 Kaggle Discord 上与学友们保持联系。对于那些错过了六月直播活动但仍想学习的人，所有课程内容均以自学式 Kaggle Learn 指南的形式保留，供随时查阅。