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PRODID:-//Palaner//palaner Single Event//EN
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CALSCALE:GREGORIAN
BEGIN:VEVENT
UID:meetup-80cbfa6104@palaner.app
DTSTAMP:20260802T155743Z
DTSTART:20260827T131500Z
DTEND:20260827T144500Z
SUMMARY:Google Cloud Labs: AI Toolkit
DESCRIPTION:Saved in Palaner as: saved\n\nPalaner match: 34% · why: lots of
  people going\n\nRegister here: https://rsvp.withgoogle.com/events/google-
 cloud-labs-ai-toolkit-toronto2\n\nJoin Google Cloud Labs for an immersive\
 , hands-on workshop designed to provide you with the practical skills and 
 architectural patterns needed to deploy secure and scalable AI on GKE and 
 integrate applied AI solutions across Google’s Data Cloud.\nPlease fill ou
 t the registration form below to express interest in joining the event! Sp
 ace is limited\, and because we want to make sure everyone gets a chance t
 o learn\, priority will be granted to folks who weren't able to catch us a
 t the June session. Registration is required\, so secure your spot on the 
 waitlist today!\n\nWelcome to The Cloud Engineer's AI Toolkit workshop!\n\
 nThis hands-on workshop will provide you with the practical skills and arc
 hitectural patterns needed to deploy secure and scalable AI on GKE and int
 egrate applied AI solutions across Google’s Data Cloud.\nThis is an intera
 ctive session\, not a lecture. Get ready for a series of live labs where y
 ou will use GKE OneMCP and the Gemini CLI to accelerate operations\, and i
 mplement the GKE Agent Sandbox for secure code execution. In our data lab\
 , we’ll guide you through building multimodal pipelines to power BigQuery 
 Graph analytics and agentic workflows in ADK. You will leave with the prac
 tical expertise to deploy\, secure\, and scale production-grade AI workloa
 ds.\nNote: To participate\, you must bring your own laptop and power cable
 . The activities require a laptop and cannot be completed on a tablet or p
 hone.\n\n\n\nWho Should Attend?\n\nThis program is designed for Platform a
 nd Security Engineers\, as well as Data Practitioners. Whether your focus 
 is implementing defense-in-depth strategies\, such as securing inference e
 ndpoints and enforcing security policies via Workload Identity and Policy 
 Controller\, or building multimodal data platforms that power agentic work
 flows\, this session is for you. To get the most out of the labs\, you sho
 uld have foundational knowledge of GKE\, and containerization\, and basic 
 SQL\, alongside a commitment to maintaining auditable\, scalable security 
 for AI workloads.
URL:https://www.meetup.com/gdg-toronto/events/315778943/
CATEGORIES:palaner,saved
STATUS:TENTATIVE
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