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Master UX research by planning usability studies, gathering feedback, analyzing insights, and refining low-fidelity designs to simulate real-world UX design scenarios.
Gain insights into Google's proven management research to build high-performing teams, master coaching, goal-setting, feedback, and AI tools for effective people management.
Explore generative AI tools and learn to enhance Gemini responses by combining Google Cloud expertise with effective prompt engineering techniques.
Explore Google Cloud fundamentals, covering cloud basics, infrastructure, networking, security, and ML/AI through hands-on labs and skill badges designed for beginners.
Master scalable workload management on Google Kubernetes Engine Enterprise, covering GKE Fleets, Cloud Service Mesh, CI/CD pipelines, AI integration, and multi-cluster networking through hands-on labs.
Explore Google Security Operations' SOAR component, covering setup, response automation, playbooks, and reporting to streamline investigations and boost daily security operations efficiency.
Learn how to use TPUs for inference, covering architecture, deployment, performance monitoring, and vLLM integration to optimize throughput and reduce latency for large AI models.
Master the art of building optimized AI inference stacks on Google Cloud using GPUs or TPUs, covering vLLM, GKE, orchestration, and best practices for performance and reliability.
Prepare for the Professional Cloud Database Engineer certification with exam-focused lectures, diagnostic questions, and a personalized study workbook to guide your readiness journey.
Master building production-ready AI agents using Google's open-source Agent Development Kit (ADK), transitioning from prompt engineering to structured, enterprise-grade multi-agent systems.
Explore Google Cloud Fraud Defense (reCAPTCHA) to protect web and mobile apps from fraud and bots, covering implementation, scoring, key types, and advanced defenses like Account, SMS, and Transaction Defense.
Master Google SecOps SIEM from setup to advanced detection engineering, covering data ingestion, RBAC, UDM analytics, YARA-L rules, dashboards, and real-world investigation workflows.
Explore building and deploying multi-agent systems using Google's ADK and Cloud infrastructure, designing hierarchical agent trees and selecting optimal hosting for secure, scalable, production-ready AI agents.
Explore Google SecOps' unified SIEM and SOAR platform, covering architecture, deployment patterns, authentication, and multi-tenant configurations to confidently plan and deploy secure environments.
Master ML workflow orchestration on Google Cloud using Vertex AI Pipelines, KFP SDK, pre-built components, and an AI-powered Data Science Agent for automated pipeline code generation.
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