3 Advanced AI agent design patterns → https://goo.gle/4uOvHxT Move beyond stateless chatbots and learn about building long-running AI agents capable of managing multi-day workflows. Watch along as the author of Beyond Vibe Coding, Addy Osmani, breaks down the three core architectural requirements for production grade long-running AI agents: event-driven dormancy, durable checkpointing, and separated evaluation. Watch more The Agent Factory: Developer Power-Ups → https://goo.gle/Supercharge-Devs 🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech #DeveloperPowerUps Speakers: Addy Osmani Products Mentioned: Agent Development Kit

Build long-running AI agents tutorial → https://goo.gle/4omygFD GitHub repo → https://goo.gle/3QlK4LA Master the long-running agent pattern with this open source Agent Development Kit (ADK) tutorial designed for building stateless, event-driven AI systems. Join the author of Beyond Vibe Coding, Addy Osmani, as he explains how a coordinator agent utilizes multi-agent delegation to pass specialized tasks to sub-agents while maintaining a perfectly clean reasoning chain. Check out the repository and tutorial linked above and get started today. Watch more The Agent Factory: Developer Power-Ups → https://goo.gle/Supercharge-Devs 🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech #DeveloperPowerUps Speakers: Addy Osmani Products Mentioned: Agent Development Kit

Github repo → https://goo.gle/3RQR3g7 Google MCP servers → https://goo.gle/4xfafo8 Model Context Protocol (MCP) is the open standard *"universal adapter"* that empowers AI agents to overcome static training data by securely and uniformly connecting with the real world's live data and actionable tools. Join Smitha Kolan as she demonstrates how to connect external tools, such as Google Trends, using MCPs with AI agents. Watch along and unlock the power of Model Context Protocol (MCP) with Google's Agent Development Kit (ADK). Chapters: 0:00 - Intro & What is Model Context Protocol (MCP)? 0:49 - How MCP works under the hood 2:41 - [Demo] Connecting Google Trends with a blog writing AI agent 6:22 - Running the agent in ADK Web UI 7:10 - Summary More resources: Google Cloud MCP servers docs → https://goo.gle/4oeVaPk Manage MCP servers docs → https://goo.gle/3PLKtqG Configure MCP in an AI application → https://goo.gle/4oab6lP 🔗 Connect with Smitha online: YouTube → https://goo.gle/Smitha-on-YouTube Linkedin → https://goo.gle/Smitha-on-LinkedIn X → https://goo.gle/Smitha-on-X Watch more Modern AI Agents: From Theory to Production → https://goo.gle/Learn-with-Smitha 🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech #AIAgents #GoogleTrends Speakers: Smitha Kolan Products Mentioned: Agent Development Kit

A deep dive into how Hugging Face created the FineWeb dataset: starting from Common Crawl snapshots, extracting high-quality text from raw web data, filtering noisy content, deduplicating at web scale, and building FineWeb-Edu with model-assisted educational quality filtering. --- 🔗 Links - FineWeb dataset: https://huggingface.co/datasets/HuggingFaceFW/fineweb - FineWeb-Edu dataset: https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu - FineWeb paper: https://arxiv.org/abs/2406.17557 - FineWeb blog post: https://huggingface.co/spaces/HuggingFaceFW/blogpost-fineweb-v1 - Common Crawl: https://commoncrawl.org/ - Trafilatura: https://trafilatura.readthedocs.io/ --- 👋 Connect with me - My website: https://alejandro-ao.com/ - X (Twitter): https://x.com/_alejandroao - LinkedIn: https://www.linkedin.com/in/alejandro-ao/ --- 🤓 Topics Covered - FineWeb dataset creation pipeline - Common Crawl filtering and deduplication - FineWeb-Edu educational data filtering --- ⏱️ Timestamps 00:00 Introduction 00:52 Why FineWeb matters 02:58 Common Crawl as data source 06:10 Base filtering techniques 07:17 Deduplication within snapshots 13:05 C4-style quality filters 17:20 FineWeb-Edu extraction 21:41 Key lessons learned 24:21 Synthetic data on the web 28:39 Conclusion

Dorie — Wall Street Journal bestselling author of The Long Game and Reinventing You and Executive Education Faculty at Columbia Business School — argues that when content "sounds like AI," what people really mean is that it sounds boring, boilerplate, and checked-out. The same thing would happen if you hired a lazy ghostwriter or wrote it yourself while watching TV. AI just makes that bad output faster to produce. She walks through how to iteratively train AI on your actual voice — flagging the small tells one at a time (no emojis, no repeated filler words, no boilerplate phrasing) until it captures something distinctive. Then she introduces social proof as one of the three pillars of her recognized expert formula for building credibility from zero: strategic affiliations that signal to people you're pre-vetted, so they can relax their vigilance and say yes to you. Watch the full episode: https://www.youtube.com/watch?v=aCxVIZiS72A&t=1s Connect with Dorie: https://www.linkedin.com/in/doriec/ The Long Game by Dorie Clark: https://bit.ly/3Qwlec4 AI-Native Course — Intro to AI for Work: https://www.datacamp.com/courses/introduction-to-ai-for-work New to DataCamp? Learn on the go using the DataCamp mobile app - https://www.datacamp.com/mobile Empower your business with world-class data and AI skills with DataCamp for business - https://www.datacamp.com/business

Google I/O '26 agentic releases → https://goo.gle/4v6NdOP A new era for AI Search → https://goo.gle/4xl0hkS Ready to move past basic AI boilerplate and see agents handle a dependent chain of complex engineering problems? This video showcases long-running AI agents executing multi-day pipelines to build non-trivial software, from an active window managed desktop OS to a fully optimized 3D web application. Join the author of Beyond Vibe Coding, Addy Osmani, as he discusses the AI agents behind the magic. Watch more The Agent Factory: Developer Power-Ups → https://goo.gle/Supercharge-Devs 🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech #DeveloperPowerUps Speakers: Addy Osmani Products Mentioned: Agent Development Kit

ADK, A2A, MCP on Google Cloud → https://goo.gle/4vvtgkf A2A agents on Cloud Run → https://goo.gle/3QwGRJj Explore the future of agentic development with this hands on demo Agent Development Kit (ADK) and Agent2Agent protocol (A2A). Watch how distinct AI agents collaborate on architecture, asset rendering, and project management while leveraging a human-in-the-loop framework to build a game. Watch along and be inspired to start building your own multi-agent apps and games. 🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech #Gemini #GoogleCloud Speakers: Terrence Ryan Products Mentioned: Agent Development Kit, Agent2Agent protocol