Introducing Google Cloud's Generative AI Leader Certification
Unlock the Future: Become a Generative AI Leader with our new certification. Ready to be at the forefront of t...
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Unlock the Future: Become a Generative AI Leader with our new certification. Ready to be at the forefront of t...
Hi everyone, Great news! We've recently extended the deadline on our 50% voucher code for ANY certification in...
Looking to upskill in Google Cloud Application Integration? Our latest lab, Build and Configure an Integration...
Make a Plan for Certification with PDE With Q1 rapidly progressing, now is a great time to make sure you have ...
Hi everyone! We’ve seen a lot of posts about sharing credits in the GCC, and some of you may have received mes...
Networking in Google Cloud: Routing and Addressing Access denied on Lab: Implement Private Google Access and C...
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Diwali may have wrapped up, but the celebrations are still going strong in The Arcade! Come join us for a burs...
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Welcome to the first Swag Drop of Arcade 2024, Season 2! We’re revisiting the favorites from last season—bring...
Hello #GoogleCloudCommunityI participated in the Google Cloud Arcade Challenge (Season 1: Jan - July 2024). Fo...
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In an awful series of event, Google has flagged of some of the Forms created for collecting participants infor...
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Dear @Yugali & Team,As we continue to navigate this arcade season, we all has demonstrated unwavering dedicati...
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In my previous blog From Data to Metadata: Unlocking Insights with Gen AI in BigQuery, we explored how BigQuery's “Insights” feature can automatically generate metadata for your tables and columns helping to uncover hidden patterns and trends within your data. We are now taking it a step further with metadata and insights generation at the dataset level. This new capability not only describes the dataset but also provides an interactive entity relationship map that visually reveals connections between different entities.
We recently announced the general availability of two new models from the latest generation of Anthropic’s Claude model family on Vertex AI: Claude Opus 4 and Claude Sonnet 4. In this blog, we’ll guide you through building with the new Claude 4 models on Vertex AI.
Deploying Deepseek-R1-0528, a 671B parameters model, typically necessitates at least 8x H200 GPUs for a single API request. Such extensive resources are not accessible to everyone.To make Deepseek R1 more accessible to developers, we're excited to announce that DeepSeek R1 is now available as a fully managed API on Vertex AI in Preview.