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Unlock Google's Tensor Processing Units to optimize AI workloads, compare accelerators, maximize model performance, and master GPU/TPU interoperability for ML workflows.
Explore Google Cloud infrastructure in Korean, covering core services, scaling, automation, and design. Prepare for the Associate Cloud Engineer certification with hands-on Qwiklabs projects.
Vertex AI Feature Storeを活用し、ML精度向上のための特徴量エンジニアリング技術を学ぶ。BigQuery ML、Keras、TensorFlowを用いた実践的な演習を通じて、効果的な特徴抽出と前処理スキルを習得。
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you'll learn how setup both network load balancers and HTTP load balancers for your application running in Compute Engine virtual machines.
This is a self-paced lab that takes place in the Google Cloud console. Data Studio lets you create dynamic, visually compelling reports and dashboards. Watch the short video Data Studio: Qwik Start - Qwiklabs Preview.
This is a self-paced lab that takes place in the Google Cloud console. This lab shows you how to query public tables and load sample data into BigQuery using the GCP Console. Watch the following short video Get Meaningful Insights with Google BigQuery.
This is a self-paced lab that takes place in the Google Cloud console. In this lab start with the Flutter template and walk through the environment. Understand the basic template and use hot reload to quickly render on screen changes in Flutter.
לומדים על טכנולוגיית ענן ומדע נתונים, ואיך הם מסייעים בטרנספורמציה דיגיטלית של עסקים. מכירים פתרונות Google Cloud ומקבלים כלים ליישום חדשנות בארגון.
Explore fundamental concepts of Reinforcement Learning through hands-on practice in the Google Cloud console, gaining practical insights into this powerful machine learning technique.
Learn to coordinate microservices using Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler on Google Cloud. Explore event-driven applications, service orchestration, and choreography for building powerful, scalable solutions.
Explore Gemini's AI capabilities for data analysis, sales prediction, and customer segmentation using BigQuery, enhancing data science and marketing workflows through hands-on labs.
Gain insights into AI security fundamentals and develop a strategic framework for protecting AI systems, managing risks, and ensuring compliance across different industries.
Master Gemini in BigQuery to enhance productivity, build generative AI applications, and implement Retrieval Augmented Generation for more accurate AI outputs within Google Cloud's data environment.
Discover Google Agentspace's AI agents, enterprise search, and NotebookLM to solve organizational challenges through hands-on exploration and real-world business applications.
Learn to perform multimodal retrieval augmented generation using Vertex AI Gemini API, enhancing AI capabilities with external data sources for more accurate and contextual responses.
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