Next ‘26 Developer keynote deep-dive
The #GoogleCloudNext Developer Keynote will show you some of the latest advancements in AI and cloud tech. Immediately after, we are taking the tech to the terminal.
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From the Next ‘26 main stage to the terminal
Our opening keynote at #GoogleCloudNext will tell you what’s possible—then we’ll show you how to build it.
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What is Gemini Enterprise Agent Platform?
Ready to take your AI development to the next level?
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Gemma 4 production stack: Model Armor, ADK Agents, Tracing
GCP credit → goo.gle/handson-ep8-lab1 Lab → goo.gle/guardians Gemma 4 is deployed. Now we secure it, build an agent on it, and make it observable.
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Self host Gemma 4: Deploy LLMs on Cloud Run GPUs
GCP credit → goo.gle/handson-ep7-lab1 Lab → goo.gle/guardians In this episode, we deploy Google's Gemma 4 model to Cloud Run two completely different ways, each with real trade-offs
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How to scale to 60 million requests (with ZERO ops team) using Cloud Run
Cloud Run → goo.gle/4tMWdaC RocketFlag → goo.gle/48KnAda The Batching Strategy → goo.gle/424ZlCP Martin Omander always says Cloud Run scales well, but does it?
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AI agent long-term memory with memory bank
Building Stateful and Personalized Agents with ADK codelab → goo.gle/agentmemorylab Build AI agents that remember, across sessions, images, video, and audio.
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Can we fix this AI agent in 60 minutes? (Live builder Q&A)
Start building today. → goo.gle/4v2fVAs Welcome to the premiere of The Agent Clinic!
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The road to Next ‘26: The ultimate developer sneak peek
Join Stephanie Wong, Richard Seroter, and Emma Twersky for this week’s livestream to review the latest Google Cloud updates you may have missed and get a sneak peek at what’s coming up for
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Mark your calendars for the AI Agent Clinic on April 15th!
#AIAgentClinic #GoogleCloud
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We put Gemma 4 in an Android phone and a Cloud GPU, here’s what happened | The Agent Factory Podcast
Gemma 4 in Google Cloud → goo.gle/4mpWI8f Deploy Gemma 4 in Cloud Run → goo.gle/48mIizK Can an open source model running entirely offline on a smartphone outperform the cloud
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Orchestrating ML/AI workloads with TPUs on GKE
Google AI Hypercomputer → goo.gle/3ObrQLK GKE for AI/ML inference → goo.gle/4cg4k8y [Tutorial] Fine tune a LLM using TPUs on GKE → goo.gle/48hT4Hu Tensor Processing Units
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BigQuery Graph in 5'
Did you know that BigQuery can run GQL queries? BigQuery Graph easily uncovers connections in your datasets, alongside your relational SQL queries.
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How to add persistent memory to your AI agent
ADK doc → goo.gle/4vhpjR1 ADK session → goo.gle/4vfEBpd Want your AI agent to remember conversations across sessions and restarts?
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Google Cloud Live: Accelerate data science and analytics with GPUs
* Speed up data analytics on GPUs → goo.gle/speed-up-data-analytics-GPUs * Accelerated machine learning with GPUs → goo.gle/accelerated-machine-learning-with-google-cloud-and-nvidia
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Vibe coding to production: AI agents, testing & CI/CD with Gemini CLI
GCP credit → goo.gle/handson-ep6-lab1 [Lab] Vibe coding with Gemini CLI → goo.gle/scholar Try Gemini CLI → goo.gle/4v7xUFO Episode 2 of vibe coding with Gemini CLI pushes
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Vibe coding with Gemini CLI: Context engineering, MCP servers & extensions
[Lab] Vibe coding with Gemini CLI → goo.gle/shadowblade GCP credit → goo.gle/handson-ep5-lab1 Try Gemini CLI → goo.gle/4ttWwHf Welcome to Episode 1 of vibe coding with
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Run Security Analysis using Gemini CLI locally and on GitHub
Whether you are working on a solo project or as part of a team, doing regular security checks is a good security practice.
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Build personal AI Assistants as Google Workspace Add-ons, in Gmail, Calendar, etc
Pierrick Voulet shows Martin Omander how to build an add on that functions as a persistent AI agent across the entire Google Workspace ecosystem.
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Hands-on AI workshop: Graph RAG, Memory & Multimodal Agents
*Code along with us! Click on the links below:* * Codelab link → goo.gle/graph-rag * Claim your credits here.
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He built an entire business using Google AI (ft @digitalsamaritan) | The Agent Factory Podcast
Try antigravity → goo.gle/3O3e0uY Try Google Stitch → goo.gle/4bByNie What does it actually look like when a solo creator uses Google AI to run an entire business — content
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How to Build a production-ready RAG AI agent
GCP credit → goo.gle/handson-ep2-lab2 Codelab & source code → goo.gle/scholar Try Google ADK → goo.gle/4bPEHej In this episode, Ayo and Annie go from structured data to a
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Build an AI Agent knowledge base using SQL (BigQuery + Gemini)
GCP credit → goo.gle/handson-ep2-lab1 Codelab & source code → goo.gle/scholar ML in BigQuery → goo.gle/3O5squw Did you know you can call a Gemini model directly from a SQL
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Make Looker Continous Integration work better for you
Use these tips to make Looker continous integration tailored to your workflow. Check out the full video on our channel.
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Looker Continuous Integration: Pro tips for efficiency
Try Incremental Validation → goo.gle/47lKIOO Specify your Explores → goo.gle/3PxdUw6 Stop waiting for full Looker CI validation sweeps!
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How to add short-term memory to your AI agent (Sessions & State Explained)
ADK doc → goo.gle/4t2J6BG ADK crash course → goo.gle/adk-lab Learn how to pass information between agents with agent short term memory.
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Become a Team USA Analyst in the Team USA x Google Cloud Hackathon
Join here → goo.gle/48mzslr Ready, set, vibe code! Join Team USA and Google Cloud for a first-of-its-kind hackathon to build the next generation of fan engagement tools.
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Google Cloud Live: Supercharge your AI agents: Inside the new ADK integrations ecosystem
Tools and Integrations for Agents - Agent Development Kit (ADK) → goo.gle/adk-integrations Supercharge your AI agents: The New ADK Integrations Ecosystem →
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Build a Multi-Agent System with ADK, MCP, and Gemini
Video for developers → goo.gle/3ZJ6dor Video for data engineers → goo.gle/4tRO4CO Video for platform engineers → goo.gle/4qPZsMy In this episode of Agentverse, we move
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